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ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
13 years 11 months ago
A Decision-Making Framework for Control Strategies in Probabilistic Search
Abstract— This paper presents the search problem formulated as a decision problem, where the searcher decides whether the target is present in the search region, and if so, where...
Timothy H. Chung, Joel W. Burdick
NIPS
2007
13 years 6 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
HICSS
2009
IEEE
126views Biometrics» more  HICSS 2009»
13 years 9 months ago
Specifying and Analyzing Workflows for Automated Identification and Data Capture
Humans use computers to carry out tasks that neither is able to do easily alone: humans provide eyes, hands, and judgment while computers provide computation, networking, and stor...
Elsa L. Gunter, Ayesha Yasmeen, Carl A. Gunter, An...
CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 9 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
JNCA
2011
126views more  JNCA 2011»
13 years 8 days ago
Coordinated session-based admission control with statistical learning for multi-tier internet applications
Popular Internet applications deploy a multi-tier architecture, with each tier provisioning a certain functionality to its preceding tier. In this paper, we address the challengin...
Sireesha Muppala, Xiaobo Zhou