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» A New Way to Introduce Knowledge into Reinforcement Learning
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BMCBI
2006
119views more  BMCBI 2006»
14 years 11 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
EWCBR
2004
Springer
15 years 5 months ago
Investigating Graphs in Textual Case-Based Reasoning
Textual case-based reasoning (TCBR) provides the ability to reason with domain-specific knowledge when experiences exist in text. Ideally, we would like to find an inexpensive way ...
Colleen Cunningham, Rosina Weber, Jason M. Proctor...
SIGMOD
2006
ACM
121views Database» more  SIGMOD 2006»
15 years 5 months ago
Derby/S: a DBMS for sample-based query answering
Although approximate query processing is a prominent way to cope with the requirements of data analysis applications, current database systems do not provide integrated and compre...
Anja Klein, Rainer Gemulla, Philipp Rösch, Wo...
PAMI
2010
170views more  PAMI 2010»
14 years 10 months ago
On the Decoding Process in Ternary Error-Correcting Output Codes
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
Sergio Escalera, Oriol Pujol, Petia Radeva
JAISE
2010
182views Algorithms» more  JAISE 2010»
14 years 6 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson