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Št. zadetkov: 23
Some Challenging Machine Learning Problems in Computational Biology: Time-Varying Networks Inference and Sparse Structured Input-Out Learning
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;machine learning;biology;genetics
Recent advances in high-throughput technologies such as microarrays and genome-wide sequencing have led to an avalanche of new biological data that are dynamic, noisy, heterogeneous, and high-dimensional. They have raised unprecedented challenges in machine learning and high-dimensional statistical ...
Leto: 2008 Vir: videolectures.net
Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;dirichlet processes
Dirichlet process mixture models provide a °exible Bayesian framework for estimating a distribution as an in¯nite mixture of simpler distributions that could identify latent classes in the data [1]. However the full exchangeability assumption they employ makes them an unappealing choice for mod ...
Leto: 2008 Vir: videolectures.net
Generative Latent Space Models for Text and Image
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;text mining;image analysis;machine learning;graphical models
Leto: 2006 Vir: videolectures.net
Interview with Eric Xing
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;interviews
Statistical machine learning theory and applications in computational biology are the **fields of interest of Eric Xing**. We asked him at this interview at Carnegie Mellon University what actually is statistical machine learning theory, where can solutions of this research be applied and if **being ...
Leto: 2006 Vir: videolectures.net
Introduction to the Machine Learning over Text & Images - Autumn School by Eric Xing
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;text mining;image analysis
Leto: 2006 Vir: videolectures.net
Undirected Graphical Models for Text & Image
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;machine learning;graphical models
Leto: 2006 Vir: videolectures.net
Time Varying Graphical Models: Reverse Engineering and Analyzing Rewiring Networks
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;network analysis;machine learning;graphical models
A plausible representation of the relational information among entities in dynamic systems such as a social community or a living cell is a stochastic network that is topologically rewiring and semantically evolving over time. While there is a rich literature in modeling static or temporally invaria ...
Leto: 2009 Vir: videolectures.net
Joint Max Margin and Max Entropy Learning of Graphical Models
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;machine learning;graphical models
Inferring structured predictions based on correlated covariates remains a central problem in many fields, including NLP, computer vision, and computational biology. Popular paradigms for training structured input/output models include the maximum (conditional) likelihood estimation, which leads to t ...
Leto: 2009 Vir: videolectures.net
Recent Advances in Learning Sparse Structured Input/Output Model: Models, Algorithms, and Applications
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;machine learning;structured output
Leto: 2008 Vir: videolectures.net
A Joint Topic and Perspective Model for Ideological Discourse
Wei-Hao Lin , Eric P. Xing , Alexander Hauptmann
Video in druga učna gradiva
Oznake:
Polarizing discussions on political and social issues are common in mass and user-generated media. However, computer-based understanding of ideological discourse has been considered too difficult to undertake. In this paper we propose a statistical model for ideology discourse. By ideology we mean ` ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 23
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