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ICML
1996
IEEE
16 years 3 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
AAI
1998
101views more  AAI 1998»
15 years 2 months ago
Layered Approach to Learning Client Behaviors in the Robocup Soccer Server
In the past few years, Multiagent Systems (MAS) has emerged as an active subfield of Artificial Intelligence (AI). Because of the inherent complexity of MAS, there is much inter...
Peter Stone, Manuela M. Veloso
HICSS
2003
IEEE
132views Biometrics» more  HICSS 2003»
15 years 7 months ago
Supporting Collaborative Exercises for Distance Education
At the German Distance Learning University, collaborative synchronous exercises have been recently identified by students and teachers as an important future form of collaborative...
Jörg M. Haake, Till Schümmer, Anja Haake
PRL
2000
58views more  PRL 2000»
15 years 2 months ago
Learning mixture models using a genetic version of the EM algorithm
The need to
Aleix M. Martínez, Jordi Vitrià
ICCV
2007
IEEE
16 years 4 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...