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#Gaussian Mixture Models

Showing: 16 courses
Serrano.Academy

Unsupervised Learning

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Explore key unsupervised learning techniques including clustering, dimensionality reduction, and generative models. Gain insights into real-world applications like recommendation systems and image compression.
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10 Lesons
4 hours 30 minutes
On-Demand
Free-Video
GERAD Research Center

Data-Driven Decision Making with Entropic Risk Measure

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Explore data-driven decision-making using entropic risk measure. Learn bias correction techniques and apply them to project selection, portfolio optimization, and insurance pricing.
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1 Lesons
44 minutes
On-Demand
Free-Video
IEEE

Small Covers for Near-zero Sets of Polynomials and Learning Latent Variable Models

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Explore techniques for parameter estimation in Gaussian mixture models and mixtures of linear regressions, focusing on dimension reduction and higher moments to overcome obstacles in learning latent variable models.
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15 Lesons
25 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Stochastic Dynamics of the Microbiome

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Explore stochastic dynamics of microbiomes through advanced computational methods. Gain insights into microbial growth, spatial structure, and population trajectories using cutting-edge genomic analysis techniques.
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1 Lesons
46 minutes
On-Demand
Free-Video
Alfredo Canziani

PCA, AE, K-Means, Gaussian Mixture Model, Sparse Coding, and Intuitive VAE

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Explore advanced machine learning techniques including PCA, autoencoders, K-means, Gaussian mixture models, sparse coding, and VAEs. Gain insights into their applications and intuitive interpretations.
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20 Lesons
1 hour 54 minutes
On-Demand
Free-Video
Shashank Kalanithi

Hands on Machine Learning - Unsupervised Learning

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Explore unsupervised learning techniques including clustering, dimensionality reduction, and Gaussian mixture models. Hands-on implementation using Python libraries for data analysis and visualization.
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15 Lesons
58 minutes
On-Demand
Free-Video
Paul G. Allen School

Statistical Applications of Wasserstein Gradient Flows

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Explore statistical applications of Wasserstein gradient flows in optimal transport, covering Otto calculus, Riemannian structures, and applications to variational inference and Gaussian mixture models.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Manolis Kellis

Expression Analysis, Clustering, and Classification in Machine Learning - Lecture 2

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Comprehensive exploration of machine learning concepts, from basic principles to advanced techniques, with applications in gene expression analysis and text clustering.
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13 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

I-Vector Representation Based on GMM and DNN for Audio Classification

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Explore advanced I-vector techniques for audio classification, including GMM and DNN-based approaches. Learn about subspace modeling and applications in language and dialect recognition.
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1 Lesons
57 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

I-Vector Representation Based on GMM and DNN for Audio Classification - 2015

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Explore I-vector approach for audio classification, including GMM mean modeling and recent subspace techniques. Learn about applications in language and dialect recognition using deep neural networks.
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1 Lesons
56 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Clustering with Tangles - Machine Learning and Signal Processing on Graphs

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Explore clustering with tangles, covering partitions, agreement parameters, cost functions, and applications in machine learning and signal processing on graphs.
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18 Lesons
57 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Clustering a Mixture of Gaussians with Unknown Covariance - Lecture

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Explore clustering with Gaussian mixtures, focusing on maximum likelihood estimation, Max-Cut solutions, and efficient algorithms. Investigate statistical-computational gaps and challenges in high-dimensional settings.
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22 Lesons
46 minutes
On-Demand
Free-Video
UofU Data Science

Mixture of Gaussians and Mean Shift Clustering - Lecture 24

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Dive into advanced clustering techniques, exploring Gaussian mixtures, EM algorithms, and Mean Shift methods for sophisticated data analysis and pattern recognition.
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1 Lesons
1 hour 21 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

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