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» Learning and Inference with Constraints
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NIPS
2007
13 years 9 months ago
Structured Learning with Approximate Inference
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
Alex Kulesza, Fernando Pereira
ICFP
2003
ACM
14 years 7 months ago
An extension of HM(X) with bounded existential and universal data-types
We propose a conservative extension of HM(X), a generic constraint-based type inference framework, with bounded existential (a.k.a. abstract) and universal (a.k.a. polymorphic) da...
Vincent Simonet
CL
2000
Springer
13 years 12 months ago
Promoting Constraints to First-Class Status
Abstract. This paper proposes to promote constraints to first-class status. In contrast to constraint propagation, which performs inference on values of variables, first-class co...
Tobias Müller
SIGKDD
2002
172views more  SIGKDD 2002»
13 years 7 months ago
Data Mining, National Security, Privacy and Civil Liberties
In this paper, we describe the threats to privacy that can occur through data mining and then view the privacy problem as a variation of the inference problem in databases. Keywor...
Bhavani M. Thuraisingham
NIPS
2000
13 years 9 months ago
The Use of Classifiers in Sequential Inference
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we deve...
Vasin Punyakanok, Dan Roth