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ICONIP
2009
15 years 2 months ago
A Study on Clustering Method by Self-Organizing Map and Information Criteria
In this paper, we propose a clustering method by SOM and information criteria. In this method, initial cluster-candidates are derived by SOM, and then these candidates are merged a...
Satoru Kato, Tadashi Horiuchi, Yoshio Itoh
PAMI
2006
147views more  PAMI 2006»
15 years 4 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
GG
2008
Springer
15 years 5 months ago
Formal Analysis of Model Transformations Based on Triple Graph Rules with Kernels
Abstract. Triple graph transformation has become an important approach for model transformations. Triple graphs consist of a source, a target and a connection graph. The correspond...
Hartmut Ehrig, Ulrike Prange
157
Voted
IJCAI
2007
15 years 6 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
AIPS
1994
15 years 6 months ago
Robot Motion Planning Integrating Planning Strategies and Learning Methods
Robot motion planning in a dynamic cluttered workspace requires the capability of dealing with obstacles and deadlock situations. The paper analyzes situations where the robot is ...
Luca Maria Gambardella, Cristina Versino