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» The Use of Classifiers in Sequential Inference
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ICIAR
2005
Springer
14 years 1 months ago
On the Individuality of the Iris Biometric
We consider quantitatively establishing the discriminative power of iris biometric data. It is difficult, however, to establish that any biometric modality is capable of distingui...
Sungsoo Yoon, Seung-Seok Choi, Sung-Hyuk Cha, Yill...
CIDM
2007
IEEE
13 years 11 months ago
Designing a Fuzzy Rule Based System to Estimate Depth of Anesthesia
Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates el...
V. Esmaeili, Amin Assareh, M. B. Shamsollahi, Moha...
ACL
2006
13 years 9 months ago
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
Vijay Krishnan, Christopher D. Manning
PPOPP
2011
ACM
12 years 10 months ago
Cooperative reasoning for preemptive execution
We propose a cooperative methodology for multithreaded software, where threads use traditional synchronization idioms such as locks, but additionally document each point of potent...
Jaeheon Yi, Caitlin Sadowski, Cormac Flanagan
AAAI
2000
13 years 9 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier