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SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
15 years 1 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
97
Voted
IADIS
2003
15 years 1 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
106
Voted
JMLR
2006
117views more  JMLR 2006»
15 years 14 days 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
94
Voted
CVPR
2007
IEEE
16 years 2 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
96
Voted
AAAI
1994
15 years 1 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