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» Solving Hierarchical Optimization Problems Using MOEAs
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IJAIT
2002
81views more  IJAIT 2002»
15 years 2 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
EMNLP
2004
15 years 4 months ago
Applying Conditional Random Fields to Japanese Morphological Analysis
This paper presents Japanese morphological analysis based on conditional random fields (CRFs). Previous work in CRFs assumed that observation sequence (word) boundaries were fixed...
Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto
COLT
2006
Springer
15 years 6 months ago
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
Yasemin Altun, Alexander J. Smola
ESA
2011
Springer
231views Algorithms» more  ESA 2011»
14 years 2 months ago
Distribution-Aware Compressed Full-Text Indexes
Abstract. In this paper we address the problem of building a compressed self-index that, given a distribution for the pattern queries and a bound on the space occupancy, minimizes ...
Paolo Ferragina, Jouni Sirén, Rossano Ventu...
173
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TASE
2010
IEEE
14 years 9 months ago
Coverage of a Planar Point Set With Multiple Robots Subject to Geometric Constraints
This paper focuses on the assignment of discrete points among K robots and determining the order in which the points should be processed by the robots, in the presence of geometric...
Nilanjan Chakraborty, Srinivas Akella, John T. Wen