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Št. zadetkov: 9
Discovering Common Sequence Variation in Arabidopsis thaliana
Gunnar Rätsch
Video in druga učna gradiva
Oznake: biology;systems biology;computer science;bioinformatics;machine learning;computational systems biology
In order to characterize natural sequence variation in 20 strains of the model plant Arabidopsis thaliana, whole-genome resequencing with high-density oligonucleotide arrays was performed in collaboration with Perlegen Sciences Inc. Array data were analyzed with a combination of existing model-based ...
Leto: 2007 Vir: videolectures.net
Online Learning and Bregmann Divergences
Gunnar Rätsch
Video in druga učna gradiva
Oznake: computer science;machine learning;on-line learning
Leto: 2002 Vir: videolectures.net
Boosting
Gunnar Rätsch
Video in druga učna gradiva
Oznake: computer science;machine learning;boosting
Leto: 2004 Vir: videolectures.net
Introduction to Boosting
Gunnar Rätsch
Video in druga učna gradiva
Oznake: computer science;machine learning;boosting
This course provides an introduction to theoretical and practical aspects of Boosting and Ensemble Learning. I will begin with a short description of the learning theoretical foundations of weak learners and their linear combination. Then we point out the useful connection between Boosting and the T ...
Leto: 2006 Vir: videolectures.net
Splice form prediction using Machine Learning
Gunnar Rätsch
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;support vector machines;markov processes
Accurate ab initio gene finding is still a major challenge in computational biology. We employ state-of-the-art machine learning techniques based on Hidden Semi-Markov-SVMs to assay and improve the accuracy of genome annotations. We applied our system, called mSplicer, on the Caenorhabditis elegans ...
Leto: 2006 Vir: videolectures.net
Introduction to bioinformatics
Gunnar Rätsch
Video in druga učna gradiva
Oznake: computer science;bioinformatics
I will start by giving a general introduction into Bioinformatics, including basic biology, typical data types (sequences, structures, expression data and networks) and established analysis tasks. In the second part, I will discuss the problem of predictive sequence analysis with Support Vector ...
Leto: 2007 Vir: videolectures.net
Improving the Caenorhabditis elegans Genome Annotation using Machine Learning
Gunnar Rätsch
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2006 Vir: videolectures.net
Machine Learning Summer Schools
Gunnar Rätsch
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2008 Vir: videolectures.net
Panel
John Shawe-Taylor , Gunnar Rätsch , Colin de la Higuera , Marko Grobelnik , José L. Balcázar , Nello Cristianini
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 9
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