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NIPS
2000
15 years 5 months ago
High-temperature Expansions for Learning Models of Nonnegative Data
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
Oliver B. Downs
127
Voted
ESA
2010
Springer
161views Algorithms» more  ESA 2010»
15 years 4 months ago
Top-k Ranked Document Search in General Text Databases
Text search engines return a set of k documents ranked by similarity to a query. Typically, documents and queries are drawn from natural language text, which can readily be partiti...
J. Shane Culpepper, Gonzalo Navarro, Simon J. Pugl...
116
Voted
CORR
2010
Springer
117views Education» more  CORR 2010»
15 years 3 months ago
Evaluating and Improving Modern Variable and Revision Ordering Strategies in CSPs
A key factor that can dramatically reduce the search space during constraint solving is the criterion under which the variable to be instantiated next is selected. For this purpos...
Thanasis Balafoutis, Kostas Stergiou
144
Voted
EJC
2008
15 years 3 months ago
On digraph coloring problems and treewidth duality
It is known that every constraint-satisfaction problem (CSP) reduces, and is in fact polynomially equivalent, to a digraph coloring problem. By carefully analyzing the constructio...
Albert Atserias
130
Voted
CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
15 years 3 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh