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ICONIP
2007
15 years 8 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
LREC
2008
76views Education» more  LREC 2008»
15 years 7 months ago
Smarty - Extendable Framework for Bilingual and Multilingual Comprehension Assistants
This paper discusses a framework for development of bilingual and multilingual comprehension assistants and presents a prototype implementation of an English-Bulgarian comprehensi...
Todor Arnaudov, Ruslan Mitkov
IJCAI
2007
15 years 7 months ago
Heuristic Selection of Actions in Multiagent Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
NIPS
2008
15 years 7 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
SCAI
2008
15 years 7 months ago
Troubleshooting when Action Costs are Dependent with Application to a Truck Engine
We propose a troubleshooting algorithm that can troubleshoot systems with dependent action costs. When actions are performed they may change the way the system is decomposed and af...
Håkan Warnquist, Mattias Nyberg, Petter S&au...