Self Taught Learning
2013 10-22 humanitarian data talk to data kind
Effective Named Entity Recognition for Idiosyncratic Web Collections
Kids, Cats and Concepts: Toward a Grand Unified Theory of ...
1 3.6 Support Vector Machines K. M. Koo. 2 Goal of SVM Find Maximum Margin goal find a separating hyperplane with maximum margin margin minimum distance.
Analytics for Noisy Unstructured Text Data, Hyderabad, 08/01/20071 A Supervised Machine Learning Approach to Conjunction Disambiguation in Named Entities.
Finding Hierarchy in Facets. The Great Chain of Being.
Fuzzy-Rough Feature Significance for Fuzzy Decision Trees Advanced Reasoning Group Department of Computer Science The University of Wales, Aberystwyth.
Computational Intelligence Winter Term 2013/14 Prof. Dr. Günter Rudolph Lehrstuhl für Algorithm Engineering (LS 11) Fakultät für Informatik TU Dortmund.
Introduction to Support Vector Machines (SVM) By Debprakash Patnaik M.E (SSA)
Ruixun Zhang Peking University Mentor: Prof. Ying Nian Wu Direct supervisor: Zhangzhang Si Department of Statistics.
© Copyright IBM Corporation 2007 Story of IBM Researchs success at KDD/Netflix Cup 2007 Saharon Rosset TAU Statistics (Formerly IBM) IBM Researchs teams:
