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#Hidden Markov Models

Showing: 55 courses
Massachusetts Institute of Technology

MIT Computational Biology - Genomes, Networks, Evolution, Health - Fall 2018

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Comprehensive exploration of computational biology, covering genomics, networks, evolution, and health applications through advanced algorithms, data analysis, and cutting-edge research topics.
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26 Lesons
1 day 7 hours
On-Demand
Free-Video
Massachusetts Institute of Technology

Machine Learning in Genomics - Fall 2019

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Comprehensive exploration of computational biology techniques, from dynamic programming to deep learning, applied to genomics, epigenomics, and systems biology. Covers cutting-edge topics like single-cell genomics and genome engineering.
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26 Lesons
1 day 10 hours
On-Demand
Free-Video
NPTEL

Pattern Recognition and Application

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This course covers feature extraction techniques and the representation of patterns in feature space. Measure of similarity between two patterns. Statistical, nonparametric and neural network techniques for pattern recognition have been discussed in this…
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40 Lesons
1 day 13 hours
On-Demand
Free-Video
Broad Institute

Time Series Machine Learning for Deployment in Healthcare

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Explore time series machine learning applications in healthcare, focusing on ICU data analysis, explainability tools, and real-time evaluation for improved patient outcomes.
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27 Lesons
59 minutes
On-Demand
Free-Video
BioinformaticsDotCA

CBW's Machine Learning Workshops May 25-26, 2021

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Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.
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7 Lesons
7 hours
On-Demand
Free-Video
Serrano.Academy

Probability

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Explore Bayes Theorem, Hidden Markov Models, Shannon Entropy, Naive Bayes classifier, Beta distribution, and Thompson sampling in this friendly introduction to key probability concepts.
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5 Lesons
1 hour 30 minutes
On-Demand
Free-Video

Bioinformatics Course Lectures

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Comprehensive bioinformatics lectures covering genomics, sequencing, evolution, statistics, alignment, phylogenetics, assembly, annotation, and genetic variation for aspiring bioinformaticians.
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17 Lesons
14 hours
On-Demand
Free-Video

Bioinformatics Lectures

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Comprehensive bioinformatics lectures covering algorithms, cancer genomics, phylogenetics, and sequence alignment. Includes practical tutorials and software demonstrations for data analysis in genomics and evolutionary biology.
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27 Lesons
7 hours
On-Demand
Free-Video

Introduction to Bioinformatics

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Explore bioinformatics fundamentals, from genome projects to databases, sequence analysis, algorithms, and phylogenetics. Learn key concepts and practical applications in biological data analysis.
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33 Lesons
8 hours
On-Demand
Free-Video
Hackaday

Bio-Inspired Sensing

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Explore bio-inspired sensing and its applications in robotics, focusing on how biological systems like the human eye inform edge detection, noise rejection, and data processing in artificial sensors.
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14 Lesons
38 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

3D Atomic Resolution Through Dose-Efficient Fusion of Image & Analytical Technique

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Explore 3D atomic structure analysis of nanomaterials using advanced quantitative TEM techniques, including parameter estimation, deep learning, and fusion of ADF STEM with EDX for heterogeneous materials.
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1 Lesons
33 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Name That Tune: Finding a Song from a Sung Query

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Explore techniques for music retrieval using Query by Humming, including string-alignment algorithms and hidden Markov models. Compare approaches and their effectiveness in finding songs from sung queries.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Georgia Tech Research

Nuts and Bolts of Modern State Space Models - Part I

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Explore state space models for analyzing sequential data, covering foundations, algorithms, and applications using the dynamax library. Learn to uncover latent states in high-dimensional measurements.
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1 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Alan Turing Institute

Time Series Class - Part 1 - Dr Ioannis Papastathopoulos, University of Edinburgh

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Learn fundamental concepts and advanced techniques for analyzing time series data, including ARMA models, state-space models, and neural networks for forecasting and inference.
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15 Lesons
1 hour 50 minutes
On-Demand
Free-Video
Alan Turing Institute

Time Series Class - Part 1 - Dr. Ioannis Papastathopoulos, University of Edinburgh

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Learn fundamental concepts and advanced techniques in time series analysis, including ARMA models, state-space models, and neural networks for forecasting and inference.
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15 Lesons
1 hour 51 minutes
On-Demand
Free-Video
Alan Turing Institute

Time Series Class - Part 2 - Professor Chris Williams, University of Edinburgh

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Explore time series analysis, from moving average models to advanced state-space techniques and recurrent neural networks. Gain practical skills in parameter estimation, forecasting, and applying models to real-world data.
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30 Lesons
53 minutes
On-Demand
Free-Video
Alan Turing Institute

Data Science Applications - Environment/Ecology

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Explore statistical modeling techniques for ecological data, focusing on hidden Markov models, Bayesian inference, and capture-recapture methods. Learn to analyze and interpret complex environmental datasets.
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27 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Pascal Poupart

CS480-680 - Hidden Markov Models

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Explore Hidden Markov Models, their assumptions, and applications in robot localization. Learn about monitoring tasks, hindsight reasoning, and finding the most likely explanation.
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12 Lesons
1 hour 2 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Sequence Alignment - Hidden Markov Models, Category Theory and All That Jazz by Soumyashant Nayak

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Explore sequence alignment methods, from traditional algorithms to modern pseudo-alignment techniques, with insights on hidden Markov models and applications in RNA-Seq data analysis and evolutionary genetics.
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24 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Alan Turing Institute

Time Series Modelling and State Space Models - Professor Chris Williams, University of Edinburgh

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Explore time series modeling, including ARMA models, Hidden Markov Models, and Kalman filtering. Learn parameter estimation, inference techniques, and advanced topics in state-space models.
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1 Lesons
1 hour 35 minutes
On-Demand
Free-Video
MITCBMM

Probability Tutorial

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Explore probability concepts, from uncertainty to Bayesian reasoning, with practical applications in graphical models and hidden Markov models.
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19 Lesons
43 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

An Introduction to State-Space Models, Particle Filters, and Sequential Monte Carlo - Lecture 1

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Explore state-space models, particle filters, and sequential methods in Bayesian statistics with Nicolas Chopin's comprehensive introduction to these advanced mathematical concepts.
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1 Lesons
1 hour 51 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

A Tutorial on Computational Methods for Modeling and Analyzing Epigenomic Data

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Explore computational methods for modeling and analyzing epigenomic data, covering ChromHMM, multivariate Hidden Markov Models, and integrating multiple chromatin markers across cell types.
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11 Lesons
45 minutes
On-Demand
Free-Video

Fall 2017

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Explore AI, ML, NLP, and Lisp through comprehensive lectures covering semantic spaces, classification, language models, and parsing techniques for advanced computational linguistics.
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13 Lesons
18 hours
On-Demand
Free-Video
Discover AI

Monte Carlo and Bayesian Networks for AI Agent Decision Making

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Explore advanced probabilistic frameworks combining Dynamic Bayesian Networks and Monte Carlo methods to enhance AI agent decision-making in complex, high-dimensional environments through practical implementations.
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9 Lesons
32 minutes
On-Demand
Free-Video
UofU Data Science

Hidden Markov Models - Parameter Estimation and Efficient Inference

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Master parameter estimation and efficient inference techniques for Hidden Markov Models, exploring key algorithms and mathematical foundations for probabilistic sequence modeling and pattern recognition.
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1 Lesons
1 hour
On-Demand
Free-Video
BasisTech

Understanding Names with Neural Networks - Session 2

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Explore neural network-based approaches for cross-language name matching, focusing on English/Japanese pairs and comparing traditional methods with advanced deep learning techniques.
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21 Lesons
59 minutes
On-Demand
Free-Video
BasisTech

Understanding Names with Neural Networks - Session 1

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Explore neural network approaches for cross-language name matching, focusing on English/Japanese. Learn about seq2seq models, LSTMs, and CNNs for improved accuracy in transliteration and scoring.
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21 Lesons
52 minutes
On-Demand
Free-Video
Simons Institute

Machine Learning for Healthcare Data

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Explore machine learning applications in healthcare, focusing on chronic kidney disease, sepsis, and surgical outcomes, with insights on transfer learning and predictive modeling.
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10 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2017 - Unsupervised Learning of Structure

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Explore unsupervised learning methods for NLP, covering feature and structure learning, design decisions, and practical examples. Gain insights into advanced techniques for neural network-based language processing.
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20 Lesons
55 minutes
On-Demand
Free-Video
Pascal Poupart

Partially Observable RL

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Explore partially observable reinforcement learning, covering Markov decision processes, hidden Markov models, and belief monitoring in this comprehensive lecture.
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10 Lesons
44 minutes
On-Demand
Free-Video
Pascal Poupart

Hidden Markov Models

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Learn about Hidden Markov Models, their applications in speech recognition and robotics, and key algorithms like the Forward Algorithm in this comprehensive overview.
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11 Lesons
29 minutes
On-Demand
Free-Video
Pascal Poupart

Partially Observable Reinforcement Learning

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Explore partially observable reinforcement learning, covering Markov processes, hidden models, and recurrent neural networks for decision-making in uncertain environments.
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11 Lesons
29 minutes
On-Demand
Free-Video
Simons Institute

Recent Progress in High-Dimensional Learning

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Explore recent advancements in high-dimensional learning, covering factor analysis, phylogenetic reconstruction, and hidden Markov models, with applications in genetics and machine learning.
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18 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Open Data Science

ODSC West 2015 - Hacking Machine Data

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Explore techniques for analyzing machine data, including Hidden Markov Models and anomaly detection. Learn to handle time-series datasets with high volatility and noise, applying real-world methods to extract valuable insights.
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31 Lesons
1 hour 34 minutes
On-Demand
Free-Video
Simons Institute

Tractable Control for Autoregressive Language Generation

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Explores using tractable probabilistic models to impose lexical constraints in autoregressive text generation, achieving state-of-the-art performance on constrained text generation benchmarks.
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1 Lesons
47 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Turning Probabilistic Reasoning into Programming - 2003

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Explore IBAL, a general-purpose probabilistic modeling language encompassing various representation methods for reasoning under uncertainty.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Neural Networks for Speech Recognition - 2013

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Explore the evolution of neural networks in speech recognition, from early experiments to modern hybrid HMM/MLP approaches, with insights from a leading expert in the field.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Making Computers Good Listeners

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Explore advanced machine learning techniques for speech and language processing, focusing on novel algorithms that outperform traditional methods in phoneme recognition and voice onset time measurement.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
IEEE

Smoothed Analysis in Unsupervised Learning via Decoupling

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Explore smoothed analysis in unsupervised learning, focusing on tensor decomposition, high-dimensional data, and robust subspace recovery. Gain insights into condition number bounds and perturbation techniques.
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12 Lesons
21 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

On Code Execution Tracking via Power Side-Channel

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Explore power side-channel analysis for code execution tracking in embedded systems, covering key extraction attacks, control flow integrity, and Hidden Markov Models for security applications.
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20 Lesons
29 minutes
On-Demand
Free-Video
NDC Conferences

Math, Juggling, Hidden Markov Models, and Embedded Python

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Explore the intersection of mathematics, juggling, and technology through an abstract model. Discover connections between ancient concepts and modern applications using embedded Python for real-time analysis.
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1 Lesons
40 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Advances in Large-Scale Multiple Sequence Alignment

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Explore cutting-edge techniques in large-scale multiple sequence alignment, focusing on graph clustering, weighted consensus HMM, and phylogeny-aware methods for improved bioinformatics analysis.
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1 Lesons
26 minutes
On-Demand
Free-Video
The Julia Programming Language

Combined Stochastic Models for Cancer Patient Trajectories

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Integrating diverse clinical data into a unified stochastic model for cancer patient trajectories, combining tumor growth, metastasis, and survival data using Julia for simulation and Bayesian inference.
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1 Lesons
24 minutes
On-Demand
Free-Video
HUJI Machine Learning Club

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models

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Delve into high-dimensional mean estimation in binary Markov Gaussian mixture models, exploring how memory in data affects estimation error and the interplay between sample size, dimension, and signal strength.
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1 Lesons
59 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Zipf's Law Suggests a Three-Pronged Approach to Inclusive Speech Recognition

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Explore Zipf's law in speech recognition, from frequent words to OOV challenges. Discover how power-law distributions impact language technologies and inclusive ASR development for diverse communities.
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1 Lesons
55 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

OUCH: Investigating Limitations of Hidden Markov Models in Speech Recognition

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Explore speech recognition challenges, focusing on Hidden Markov Model limitations. Examine frame-to-frame independence assumptions and their implications for improving recognition accuracy.
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21 Lesons
45 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Tutorial on Hidden Markov Models - Part 2

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Explore advanced concepts of Hidden Markov Models, including applications and algorithms, in this in-depth continuation of Jason Eisner's tutorial series.
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1 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

UBM-based Acoustic Modeling for ASR - 2009

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Explore advanced UBM-based acoustic modeling techniques for automatic speech recognition, enhancing ASR system performance and accuracy.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Speech Recognition - 2000

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Explore fundamental concepts and techniques of speech recognition, including acoustic modeling, language modeling, and decoding algorithms.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Sequence Kernels for Speaker and Speech Recognition

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Explore sequence kernels for speaker and speech recognition, focusing on generative kernels and their applications in feature extraction and classification using HMMs, GMMs, and SVMs.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

An Implementation of Sub-Space Model Based Automatic Speech Recognition - 2009

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Explore advanced speech recognition techniques using sub-space models in this in-depth implementation guide from Johns Hopkins University's CLSP.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Manolis Kellis

Epigenomics and Hidden Markov Models in Computational Biology - Lecture 5

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Explore epigenomics, histone modifications, and DNA profiling techniques. Learn about read mapping, quality control, and Hidden Markov Models for analyzing chromatin states in computational biology.
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19 Lesons
1 hour 24 minutes
On-Demand
Free-Video
UofU Data Science

Part of Speech Tagging, Named Entity Recognition, and Hidden Markov Model

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Master essential Natural Language Processing techniques including part-of-speech tagging, named entity recognition, and hidden Markov models for advanced text analysis.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Discover AI

Model Stealing for Low-Rank Language Models Through Reverse Engineering

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Discover groundbreaking mathematical techniques for reverse-engineering language models through conditional queries and barycentric spanners, exploring MIT's innovative approach to model extraction.
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11 Lesons
28 minutes
On-Demand
Free-Video