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ICML
2007
IEEE
16 years 7 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
ICML
2004
IEEE
16 years 7 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
SCAM
2002
IEEE
15 years 11 months ago
Handling Preprocessor-Conditioned Declarations
Many software systems are developed with configurable functionality, and for multiple hardware platforms and operating systems. This can lead to thousands of possible configuratio...
Lerina Aversano, Massimiliano Di Penta, Ira D. Bax...
EUROCRYPT
1999
Springer
15 years 10 months ago
Conditional Oblivious Transfer and Timed-Release Encryption
Abstract. We consider the problem of sending messages into the future." Previous constructions for this task were either based on heuristic assumptions or did not provide anon...
Giovanni Di Crescenzo, Rafail Ostrovsky, Sivaramak...
NIPS
2004
15 years 7 months ago
Conditional Models of Identity Uncertainty with Application to Noun Coreference
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and m...
Andrew McCallum, Ben Wellner