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IJCNN
2006
IEEE
16 years 16 days 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
IJCNN
2006
IEEE
16 years 16 days 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 16 days ago
A Connectionist Approach to Speech Understanding
— This paper argues that connectionist systems are a good approach to implement a speech understanding computational model. In this direction, we propose SUM, a Speech Understand...
Daniel Nehme Müller, Mozart Lemos de Siqueira...
IJCNN
2006
IEEE
16 years 16 days 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 16 days 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