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» Learning and Inference with Constraints
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IJCAI
2001
13 years 8 months ago
Constraints as Data: A New Perspective on Inferring Probabilities
We present a new approach to inferring a probability distribution which is incompletely specified by a number of linear constraints. We argue that the currently most popular appro...
Manfred Jaeger
IOR
2010
128views more  IOR 2010»
13 years 4 months ago
Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
The paper considers a stylized model of a dynamic assortment optimization problem, where given a limited capacity constraint, we must decide the assortment of products to offer to...
Paat Rusmevichientong, Zuo-Jun Max Shen, David B. ...
JMLR
2010
149views more  JMLR 2010»
13 years 2 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
JFP
2008
97views more  JFP 2008»
13 years 6 months ago
HM(X) type inference is CLP(X) solving
The HM(X) system is a generalization of the Hindley/Milner system parameterized in the constraint domain X. Type inference is performed by generating constraints out of the progra...
Martin Sulzmann, Peter J. Stuckey