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MS
2003
13 years 8 months ago
Information-theoretic Competitive Learning
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
Ryotaro Kamimura
MLMI
2004
Springer
14 years 26 days ago
Meeting Modelling in the Context of Multimodal Research
Abstract. This paper presents a framework for corpus based multimodal research. Part of this framework is applied in the context of meeting modelling. A generic model for differen...
Dennis Reidsma, Rutger Rienks, Natasa Jovanovic
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 11 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
IJCNN
2006
IEEE
14 years 1 months ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
CORR
2004
Springer
122views Education» more  CORR 2004»
13 years 7 months ago
Evolution of a Subsumption Architecture Neurocontroller
An approach to robotics called layered evolution and merging features from the subsumption architecture into evolutionary robotics is presented, and its advantages are discussed. T...
Julian Togelius