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SSPR
2004
Springer
16 years 15 days ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
15 years 11 months ago
Enhanced Q-learning algorithm for dynamic power management with performance constraint
- This paper presents a novel power management techniques based on enhanced Q-learning algorithms. By exploiting the submodularity and monotonic structure in the cost function of a...
Wei Liu, Ying Tan, Qinru Qiu
AAAI
1990
15 years 8 months ago
Tree Decomposition with Applications to Constraint Processing
This paper concerns the task of removing redundant information from a given knowledge base, and restructuring it in the form of a tree, so as to admit efficient problem solving ro...
Itay Meiri, Judea Pearl, Rina Dechter
ENTCS
2008
116views more  ENTCS 2008»
15 years 7 months ago
Computational Origami Construction as Constraint Solving and Rewriting
Computational origami is the computer assisted study of mathematical and computational aspects of origami. An origami is constructed by a finite sequence of fold steps, each consi...
Tetsuo Ida, Mircea Marin, Hidekazu Takahashi, Fado...
CP
2007
Springer
16 years 1 months ago
GAC Via Unit Propagation
In this paper we argue that an attractive and potentially very general way of achieving generalized arc consistency (GAC) on a constraint is by using unit propagation (UP) over a C...
Fahiem Bacchus