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Št. zadetkov: 9
Learning Hierarchical Multi-Category Text Classification Models
Juho Rousu
Video in druga učna gradiva
Oznake: computer science;text mining
Leto: 2005 Vir: videolectures.net
On Max-Margin Markov Networks in Hierarchical Document Classification
Juho Rousu
Video in druga učna gradiva
Oznake: computer science;machine learning;markov processes
Leto: 2006 Vir: videolectures.net
Towards Structured Output Prediction of Enzyme Function
Juho Rousu
Video in druga učna gradiva
Oznake: computer science;bioinformatics;computational systems biology
Leto: 2007 Vir: videolectures.net
Multilabel prediction of drug activity
Juho Rousu
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;bioinformatics;computational systems biology;graphical models
Machine learning has become increasingly important in drug discovery where viable molecular structures are searched or designed for therapeutic efficacy. In particular, the costly pre-clinical in vitro and in vivo testing of drug candidates can be focused to the most promising molecules, if accurate ...
Leto: 2010 Vir: videolectures.net
Kernel-based learning of hierarchial multilabel classification models
Juho Rousu
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods
Leto: 2005 Vir: videolectures.net
Efficient max-margin Markov learning via conditional gradient and probabilistic inference
Juho Rousu
Video in druga učna gradiva
Oznake: computer science;machine learning;markov processes
We present a general and efficient optimisation methodology for for max-margin sructured classification tasks. The efficiency of the method relies on the interplay of several techiques: marginalization of the dual of the structured SVM, or max-margin Markov problem; partial decomposition via a gradi ...
Leto: 2006 Vir: videolectures.net
Introduction and welcome
Juho Rousu
Video in druga učna gradiva
Oznake: events
Leto: 2006 Vir: videolectures.net
Structured Output Prediction of Anti-Cancer Drug Activity
Juho Rousu
Video in druga učna gradiva
Oznake:
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity against a set of cancer cell lines in one shot. Statistical dependencies between the cell lines are encoded by a Markov ...
Leto: 2010 Vir: videolectures.net
Structured Output Prediction of Enzyme Function via Reaction Kernels
Juho Rousu
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods
Enzyme function prediction is an important problem in post-genomic bioinformatics. There are two general methods for solving the problem: transfer of annotation from a similar, already annotated protein, and machine learning approaches that treat the problem as classification against a fixed taxonom ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 9
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