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» Reinforcement Learning with the Use of Costly Features
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JFR
2006
140views more  JFR 2006»
13 years 9 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
BMCBI
2010
159views more  BMCBI 2010»
13 years 9 months ago
Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
Alvaro J. González, Li Liao
ECCV
2000
Springer
14 years 11 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
ICCBR
2010
Springer
13 years 7 months ago
A General Introspective Reasoning Approach to Web Search for Case Adaptation
Abstract. Acquiring adaptation knowledge for case-based reasoning systems is a challenging problem. Such knowledge is typically elicited from domain experts or extracted from the c...
David B. Leake, Jay H. Powell
INFOCOM
2009
IEEE
14 years 3 months ago
An Adaptive Link Layer for Range Diversity in Multi-Radio Mobile Sensor Networks
—An important challenge in mobile sensor networks is to enable energy-efficient communication over a diversity of distances while being robust to wireless effects caused by node...
Jeremy Gummeson, Deepak Ganesan, Mark D. Corner, P...