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
Tricks of the trade for training SVMs 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
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
Welcome to ROKS 2013 Provider: Videolectures.NET Language: en
Does SVM Really Scale Up to Large Bag of Words Feature Spaces? Provider: Videolectures.NET Language: en
Statistical Learning Theory and Applications Provider: MIT OpenCourseWare Language: en
Distance Metric Learning for Kernel Machines Provider: Videolectures.NET Language: en
Lecture 5: Client Use of Templates Provider: Videolectures.NET Language: en
The "yacaree" approach to association rules Provider: Videolectures.NET Language: en
Development of Inventions and Creative Ideas Provider: MIT OpenCourseWare Language: en
3.2 Vector Addition and Subtraction: Graphical Methods Provider: OpenStax CNX Language: en
Lecture 27: Vector fields in 3D; surface integrals and flux Provider: Videolectures.NET Language: en
Statistical Learning Theory and Applications Provider: MIT OpenCourseWare Language: en
FrameBase: Representing N-ary Relations using Semantic Frames Provider: Videolectures.NET Language: en
Kolofon Provider: eU─Źbeniki Language: sl
De-Identifying Facial Images Using Projections on Hyperspheres Provider: Videolectures.NET Language: en