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CISSE
2008
Springer
15 years 8 months ago
Improved Induction Tree Training for Automatic Lexical Categorization
This paper studies a tuned version of an induction tree which is used for automatic detection of lexical word category. The database used to train the tree has several fields to de...
M. D. López De Luise, M. Soffer, F. Spelanz...
ICML
2007
IEEE
16 years 7 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
ENGL
2007
168views more  ENGL 2007»
15 years 6 months ago
A Novel Star Field Approach for Shape Indexing in CBIR Systems
—This paper presents a novel hybrid method for content based visual information retrieval (CBIR) that combines shape analysis of objects in image with their automatic indexing by...
Oleg Starostenko, Alberto Chávez-Arag&oacut...
EJWCN
2010
118views more  EJWCN 2010»
15 years 1 months ago
Field Division Routing
Multi-hop communication objectives and constraints impose a set of challenging requirements that create difficult conditions for simultaneous optimization of features such as scala...
Milenko Drinic, Darko Kirovski, Lin Yuan, Gang Qu,...
ICASSP
2009
IEEE
16 years 1 months ago
Conditional random fields for the prediction of signal peptide cleavage sites
Correct prediction of signal peptide cleavage sites has a significant impact on drug design. State-of-the-art approaches to cleavage site prediction typically use generative mode...
Man-Wai Mak, Sun-Yuan Kung