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TNN
2008
182views more  TNN 2008»
13 years 9 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
ICONIP
2009
13 years 7 months ago
Adaptive Sensor-Driven Neural Control for Learning in Walking Machines
Abstract. Wild rodents learn the danger-predicting meaning of predator bird calls through the paring of cues which are an aversive stimulus (immediate danger signal or unconditione...
Poramate Manoonpong, Florentin Wörgötter
ICNC
2005
Springer
14 years 3 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
Abstract. We apply a machine learning method to the occupation coding, which is a task to categorize the answers to open-ended questions regarding the respondent’s occupation. Sp...
Kazuko Takahashi, Hiroya Takamura, Manabu Okumura
STACS
2004
Springer
14 years 3 months ago
Deterministic Truthful Approximation Mechanisms for Scheduling Related Machines
Abstract. We consider the problem of scheduling jobs on related machines owned by selfish agents and provide the first deterministic mechanisms with constant approximation that a...
Vincenzo Auletta, Roberto De Prisco, Paolo Penna, ...