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JCB
2006
215views more  JCB 2006»
15 years 16 days ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
128
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KAIS
2008
150views more  KAIS 2008»
15 years 16 days ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
KER
2008
107views more  KER 2008»
15 years 16 days ago
Tuplespace-based computing for the Semantic Web: a survey of the state-of-the-art
Semantic technologies promise to solve many challenging problems of the present Web applications. As they achieve a feasible level of maturity, they become increasingly accepted i...
Lyndon J. B. Nixon, Elena Paslaru Bontas Simperl, ...
99
Voted
KI
2008
Springer
15 years 16 days ago
Can Argumentation Help AI to Understand Explanation?
ed from context by seeing an explanation inferentially, much in the same way that early expert systems saw an explanation as chaining of inferences. This approach omitted, for the ...
Doug Walton
JMLR
2006
140views more  JMLR 2006»
15 years 15 days ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
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