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» A Framework for Multiple-Instance Learning
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ADHOC
2004
127views more  ADHOC 2004»
15 years 6 months ago
A distributed and adaptive signal processing approach to exploiting correlation in sensor networks
We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the topic o...
Jim Chou, Dragan Petrovic, Kannan Ramchandran
CORR
2004
Springer
106views Education» more  CORR 2004»
15 years 6 months ago
Intelligent Systems: Architectures and Perspectives
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
Ajith Abraham
GPEM
2000
121views more  GPEM 2000»
15 years 6 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
CSL
1998
Springer
15 years 6 months ago
Evaluating spoken dialogue agents with PARADISE: Two case studies
This paper presents PARADISE PARAdigm for DIalogue System Evaluation, a general framework for evaluating and comparing the performance of spoken dialogue agents. The framework d...
Marilyn A. Walker, Diane J. Litman, Candace A. Kam...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 4 months ago
Modeling and decision making in spatio-temporal processes for environmental surveillance
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...