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ICANN
2010
Springer
15 years 1 hour ago
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Frank-Florian Steege, André Hartmann, Erik ...
95
Voted
ICASSP
2010
IEEE
14 years 11 months ago
Learning deep rhetorical structure for extractive speech summarization
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference ...
Justin Jian Zhang, Pascale Fung
83
Voted
IJLT
2006
89views more  IJLT 2006»
14 years 11 months ago
How do you know they are learning? The importance of alignment in higher education
: The success of any learning environment is determined by the degree to which there is adequate alignment among eight critical factors: 1) goals, 2) content, 3) instructional desi...
Thomas C. Reeves
MMS
2006
14 years 11 months ago
Support vector machine active learning for music retrieval
Searching and organizing growing digital music collections requires a computational model of music similarity. This paper describes a system for performing flexible music similarit...
Michael I. Mandel, Graham E. Poliner, Daniel P. W....
86
Voted
VLSISP
2002
124views more  VLSISP 2002»
14 years 10 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys