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» Learning and Inference with Constraints
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ICML
2006
IEEE
14 years 8 months ago
Efficient inference on sequence segmentation models
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Sunita Sarawagi
ICML
2004
IEEE
14 years 8 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
MLDM
2009
Springer
14 years 2 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
TLDI
2003
ACM
108views Formal Methods» more  TLDI 2003»
14 years 27 days ago
Inferring annotated types for inter-procedural register allocation with constructor flattening
We introduce an annotated type system for a compiler intermediate language. The type system is designed to support inter-procedural register allocation and the representation of t...
Torben Amtoft, Robert Muller
ACL
2009
13 years 5 months ago
Variational Inference for Grammar Induction with Prior Knowledge
Variational EM has become a popular technique in probabilistic NLP with hidden variables. Commonly, for computational tractability, we make strong independence assumptions, such a...
Shay B. Cohen, Noah A. Smith