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ICML
2003
IEEE
16 years 5 months ago
Tractable Bayesian Learning of Tree Augmented Naive Bayes Models
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
Jesús Cerquides, Ramon López de M&aa...
STOC
2003
ACM
122views Algorithms» more  STOC 2003»
16 years 4 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
ICALT
2005
IEEE
15 years 10 months ago
Learning from the Pitfalls of a Case Sharing Web
Using cases for teaching and learning has received growing attention in teacher training programs. This project intends to build a web forum for student teachers to discuss their ...
Shihkuan Hsu
IJCAI
2003
15 years 5 months ago
Qualitative Map Learning Based on Co-visibility of Objects
This paper proposes a unique map learning method for mobile robots based on the co-visibility infor­ mation of objects i.e., the information on whether two objects are visible at...
Takehisa Yairi, Koichi Hori
ICML
2010
IEEE
15 years 5 months ago
Sequential Projection Learning for Hashing with Compact Codes
Hashing based Approximate Nearest Neighbor (ANN) search has attracted much attention due to its fast query time and drastically reduced storage. However, most of the hashing metho...
Jun Wang, Sanjiv Kumar, Shih-Fu Chang