Deep Support Vector Machines Provider: Videolectures.NET Language: en
A Bahadur Type Representation of the Linear Support Vector Machine and its Relative Efficiency Provider: Videolectures.NET Language: en
Localized Projection Learning Provider: Videolectures.NET Language: en
Closure-Based Confidence Boost in Association Rules Provider: Videolectures.NET Language: en
Tricks of the trade for training SVMs Provider: Videolectures.NET Language: en
How does Clickthrough Data Reflect Retrieval Quality? Provider: Videolectures.NET Language: en
Time Series Gene Expression Data Classification via L1-norm Temporal SVM Provider: Videolectures.NET Language: en
Playwriting I Provider: MIT OpenCourseWare Language: en
The Art of the Probable: Literature and Probability Provider: MIT OpenCourseWare Language: en
Does SVM Really Scale Up to Large Bag of Words Feature Spaces? Provider: Videolectures.NET Language: en
The Feature Importance Ranking Measure Provider: Videolectures.NET Language: en
Introduction to CLOP Machine Learning Toolbox Provider: Videolectures.NET Language: en
Stochastic Subgradient Approach for Solving Linear Support Vector Machines Provider: Videolectures.NET Language: en
Experimental Methods of Adjustable Tetrode Array Neurophysiology Provider: MIT OpenCourseWare Language: en
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs Provider: Videolectures.NET Language: en
Multiple Kernel Learning on the Limit Order Book Provider: Videolectures.NET Language: en
Lecture 6: Velocity, acceleration - Kepler's second law Provider: Videolectures.NET Language: en
How and Why Machines Work Provider: MIT OpenCourseWare Language: en
It's never black and white Provider: Videolectures.NET Language: en
Knowledge Discovery in extensive data sets Provider: Videolectures.NET Language: en