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CVPR
2010
IEEE
13 years 9 months ago
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk
ICASSP
2010
IEEE
13 years 11 months ago
Word confidence calibration using a maximum entropy model with constraints on confidence and word distributions
It is widely known that the quality of confidence measure is critical for speech applications. In this paper, we present our recent work on improving word confidence scores by cal...
Dong Yu, Shizhen Wang, Jinyu Li, Li Deng
ENTCS
2006
124views more  ENTCS 2006»
13 years 11 months ago
An Efficient Nelson-Oppen Decision Procedure for Difference Constraints over Rationals
Abstract. Nelson and Oppen provided a methodology for modularly combining decision procedures for individual theories to construct a decision procedure for a combination of theorie...
Shuvendu K. Lahiri, Madanlal Musuvathi
CP
2009
Springer
14 years 11 months ago
Constraint-Based Optimal Testing Using DNNF Graphs
The goal of testing is to distinguish between a number of hypotheses about a systemfor example, dierent diagnoses of faults by applying input patterns and verifying or falsifying t...
Anika Schumann, Martin Sachenbacher, Jinbo Huang
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 9 months ago
Learning Algorithms for Link Prediction Based on Chance Constraints
In this paper, we consider the link prediction problem, where we are given a partial snapshot of a network at some time and the goal is to predict the additional links formed at a ...
Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lis...