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132
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SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
15 years 3 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
114
Voted
IADIS
2003
15 years 3 months ago
A Web-Based Education Tool for Collaborative Learning of Assembly Programming
A visual simulator has been developed as an example of Web-based education tool, which is designed for students to understand graphically internal behavior and structure of comput...
Yoshiro Imai, Shinji Tomita
JMLR
2006
117views more  JMLR 2006»
15 years 2 months ago
On the Complexity of Learning Lexicographic Strategies
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
Michael Schmitt, Laura Martignon
CVPR
2007
IEEE
16 years 4 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
AAAI
1994
15 years 3 months ago
Inductive Learning For Abductive Diagnosis
A new inductive learning system, Lab Learning for ABduction, is presented which acquires abductive rules from a set of training examples. The goal is to nd a small knowledge base ...
Cynthia A. Thompson, Raymond J. Mooney