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Book
519views
15 years 7 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
RAS
2000
161views more  RAS 2000»
13 years 7 months ago
Active object recognition by view integration and reinforcement learning
A mobile agent with the task to classify its sensor pattern has to cope with ambiguous information. Active recognition of three-dimensional objects involves the observer in a sear...
Lucas Paletta, Axel Pinz
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 5 months ago
Coding for High-Density Recording on a 1-D Granular Magnetic Medium
In terabit-density magnetic recording, several bits of data can be replaced by the values of their neighbors in the storage medium. As a result, errors in the medium are dependent ...
Arya Mazumdar, Alexander Barg, Navin Kashyap
NN
2008
Springer
129views Neural Networks» more  NN 2008»
13 years 8 months ago
Neurolinguistic approach to natural language processing with applications to medical text analysis
Brain processes responsible for understanding language are approximated by spreading activation in semantic networks, providing enhanced representations that involve concepts not ...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
NLPRS
2001
Springer
14 years 14 days ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...