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» Faster Possibility Detection by Combining Two Approaches
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IROS
2007
IEEE
127views Robotics» more  IROS 2007»
15 years 6 months ago
Goal directed navigation with uncertainty in adversary locations
— This paper addresses the problem of planning for goal directed navigation in the environment that contains a number of possible adversary locations. It first shows that common...
Maxim Likhachev, Anthony Stentz
ICPR
2006
IEEE
16 years 24 days ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
DAGM
1999
Springer
15 years 4 months ago
Collaborative Multi-Robot Localization
This paper presents a statistical algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mob...
Dieter Fox, Wolfram Burgard, Hannes Kruppa, Sebast...
EMNLP
2010
14 years 9 months ago
The Necessity of Combining Adaptation Methods
Problems stemming from domain adaptation continue to plague the statistical natural language processing community. There has been continuing work trying to find general purpose al...
Ming-Wei Chang, Michael Connor, Dan Roth
BMCBI
2007
107views more  BMCBI 2007»
14 years 11 months ago
A computational approach for detecting peptidases and their specific inhibitors at the genome level
Background: Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2–5% of the genes encode for peptidases, irresp...
Lisa Bartoli, Remo Calabrese, Piero Fariselli, Dam...