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NIPS
1998
13 years 9 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
ICCV
2009
IEEE
15 years 16 days ago
An Algebraic Approach to Affine Registration of Point Sets
This paper proposes a new affine registration algorithm for matching two point sets in IR2 or IR3. The input point sets are represented as probability density functions, using e...
Jeffrey Ho, Adrian Peter, Anand Rangarajan, Ming-H...
PE
2002
Springer
137views Optimization» more  PE 2002»
13 years 7 months ago
Analysis of two competing TCP/IP connections
Many mathematical models exist for describing the behavior of TCP/IP (TCP: transmission control protocol) under an exogenous loss process that does not depend on the window size. ...
Eitan Altman, Tania Jiménez, R. Nú&n...
APPML
2007
154views more  APPML 2007»
13 years 7 months ago
Comparison of distances between measures
The problem of optimal transportation between a set of sources and a set of wells has become recently the object of new mathematical models generalizing the Monge-Kantorovich prob...
Jean-Michel Morel, Filippo Santambrogio
MSWIM
2005
ACM
14 years 1 months ago
Using statistical design of experiments for analyzing mobile ad hoc networks
The performance of mobile ad hoc networks can be influenced by numerous factors, including protocol design at every layer; parameter settings such as retransmission limits and ti...
Michael W. Totaro, Dmitri D. Perkins