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NIPS
2007
15 years 8 months ago
A Risk Minimization Principle for a Class of Parzen Estimators
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
IJCAI
2001
15 years 8 months ago
Reasoning about Categories in Conceptual Spaces
Understanding the process of categorization is a primary research goal in artificial intelligence. The conceptual space framework provides a flexible approach to modeling context-...
Peter Gärdenfors, Mary-Anne Williams
CORR
2008
Springer
112views Education» more  CORR 2008»
15 years 6 months ago
Distributed Estimation over Wireless Sensor Networks with Packet Losses
A distributed adaptive algorithm to estimate a time-varying signal, measured by a wireless sensor network, is designed and analyzed. The presence of measurement noises and of packe...
Carlo Fischione, Alberto Speranzon, Karl Henrik Jo...
MP
2006
123views more  MP 2006»
15 years 6 months ago
New interval methods for constrained global optimization
Abstract. Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adap...
Mihály Csaba Markót, J. Ferná...
ORL
2008
90views more  ORL 2008»
15 years 6 months ago
Optimal bundle pricing with monotonicity constraint
We consider the problem to sell items to a set of bidders. Bidders bid on bundles of items, and each item's availability is unbounded, like for digital goods. We need to dete...
Alexander Grigoriev, Joyce van Loon, Maxim Sviride...