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IJCNN
2006
IEEE
16 years 1 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
208
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IJCNN
2006
IEEE
16 years 1 months ago
Predictive Random Graph Ranking on the Web
Abstract— The incomplete information about the Web structure causes inaccurate results of various ranking algorithms. In this paper, we propose a solution to this problem by form...
Haixuan Yang, Irwin King, Michael R. Lyu
IJCNN
2006
IEEE
16 years 1 months ago
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
Gavin C. Cawley
IJCNN
2006
IEEE
16 years 1 months ago
Learning a Rendezvous Task with Dynamic Joint Action Perception
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
Nancy Fulda, Dan Ventura
IPPS
2006
IEEE
16 years 1 months ago
Solving generic role assignment exactly
role assignment is a programming abstraction that supports the assignment of user-defined roles to sensor nodes such that certain conditions are met. Many common network configu...
Christian Frank, Kay Römer
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