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131
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ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 1 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
126
Voted
EMNLP
2010
15 years 1 months ago
Hashing-Based Approaches to Spelling Correction of Personal Names
We propose two hashing-based solutions to the problem of fast and effective personal names spelling correction in People Search applications. The key idea behind our methods is to...
Raghavendra Udupa, Shaishav Kumar
119
Voted
ESANN
2006
15 years 4 months ago
Reducing policy degradation in neuro-dynamic programming
We focus on neuro-dynamic programming methods to learn state-action value functions and outline some of the inherent problems to be faced, when performing reinforcement learning in...
Thomas Gabel, Martin Riedmiller
88
Voted
FSS
2002
93views more  FSS 2002»
15 years 3 months ago
Incremental learning in Fuzzy Pattern Matching
We use learning methods to build classi
Moamar Sayed Mouchaweh, Arnaud Devillez, Gé...
207
Voted
ACCV
2010
Springer
14 years 10 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu