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SSPR
2004
Springer
16 years 3 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
DSRT
2008
IEEE
15 years 8 months ago
Two Complementary Tools for the Formal Testing of Distributed Systems with Time Constraints
The complexity and the variety of the deployed timedependent systems, as well as the high degree of reliability required for their global functioning, justify the care provided to...
Ana R. Cavalli, Edgardo Montes de Oca, Wissam Mall...
SODA
2001
ACM
93views Algorithms» more  SODA 2001»
15 years 8 months ago
Improved algorithms for 3-coloring, 3-edge-coloring, and constraint satisfaction
We consider worst case time bounds for NP-complete problems including 3-SAT, 3-coloring, 3-edge-coloring, and 3list-coloring. Our algorithms are based on a constraint satisfaction...
David Eppstein
AMAI
2008
Springer
15 years 6 months ago
Integrating answer set programming and constraint logic programming
We introduce a knowledge representation language AC(C) extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an algorithm, ACsolver, ...
Veena S. Mellarkod, Michael Gelfond, Yuanlin Zhang