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CSL
2006
Springer
14 years 12 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
CVPR
2005
IEEE
16 years 1 months ago
Random Subspaces and Subsampling for 2-D Face Recognition
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
Nitesh V. Chawla, Kevin W. Bowyer
ECAI
1998
Springer
15 years 4 months ago
The Neural Path to Dialogue Acts
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
M. Kipp
DAC
2010
ACM
15 years 3 months ago
Towards scalable system-level reliability analysis
State-of-the-art automatic reliability analyses as used in system-level design approaches mainly rely on Binary Decision Diagrams (BDDs) and, thus, face two serious problems: (1) ...
Michael Glaß, Martin Lukasiewycz, Christian ...
AAAI
2007
15 years 2 months ago
Authorial Idioms for Target Distributions in TTD-MDPs
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
David L. Roberts, Sooraj Bhat, Kenneth St. Clair, ...