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» Generalization Improvement in Multi-Objective Learning
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IJCAI
2007
13 years 11 months ago
Learning Implied Global Constraints
Finding a constraint network that will be efficiently solved by a constraint solver requires a strong expertise in Constraint Programming. Hence, there is an increasing interest i...
Christian Bessière, Remi Coletta, Thierry P...
ICML
2009
IEEE
14 years 10 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
CP
2003
Springer
14 years 3 months ago
Unrestricted Nogood Recording in CSP Search
Recently spectacular improvements in the performance of SAT solvers have been achieved through nogood recording (clause learning). In the CSP literature, on the other hand, nogood ...
George Katsirelos, Fahiem Bacchus
ICCV
2009
IEEE
15 years 3 months ago
Joint learning of visual attributes, object classes and visual saliency
We present a method to learn visual attributes (eg.“red”, “metal”, “spotted”) and object classes (eg. “car”, “dress”, “umbrella”) together. We assume imag...
Gang Wang, David Forsyth
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 10 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims