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IJRR
2011
99views more  IJRR 2011»
14 years 6 months ago
Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment
This paper unifies and extends several different existing strategies for deploying groups of robots in an environment. A cost function is proposed that can be specialized to rep...
Mac Schwager, Daniela Rus, Jean-Jacques E. Slotine
JMLR
2006
92views more  JMLR 2006»
14 years 11 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 6 months ago
Is a probabilistic modeling
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Michel Fliess, Cédric Join, Fréd&eac...
WCNC
2010
IEEE
15 years 3 months ago
Deploying Wireless Sensors for Differentiated Coverage and Probabilistic Connectivity
—The deployment strategy for achieving differentiated coverage and probabilistic connectivity in wireless sensor networks is studied in this paper. A novel solution based on elit...
Yanjun Li, Ye-Qiong Song, Yi-hua Zhu, René ...
ACL
1996
15 years 1 months ago
A New Statistical Parser Based on Bigram Lexical Dependencies
This paper describes a new statistical parser which is based on probabilities of dependencies between head-words in the parse tree. Standard bigram probability estimation techniqu...
Michael Collins