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» Measuring Complexity of Intelligent Machines
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JCSS
2008
138views more  JCSS 2008»
14 years 9 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
JUCS
2010
167views more  JUCS 2010»
14 years 8 months ago
Ontology based Approach in Knowledge Sharing Measurement
: For many years, physical asset indicators were the main evidence of an organization’s successful performance. However, the situation has changed following the revolution of inf...
Behrang Zadjabbari, Pornpit Wongthongtham, Farookh...
ESWA
2007
127views more  ESWA 2007»
14 years 9 months ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
LATA
2009
Springer
15 years 2 months ago
On Parallel Communicating Grammar Systems and Correctness Preserving Restarting Automata
Abstract. This paper contributes to the study of Freely Rewriting Restarting Automata (FRR-automata) and Parallel Communicating Grammar Systems (PCGS) as formalizations of the ling...
Dana Pardubská, Martin Plátek, Fried...
CIKM
2005
Springer
15 years 3 months ago
Mining officially unrecognized side effects of drugs by combining web search and machine learning
We consider the problem of finding officially unrecognized side effects of drugs. By submitting queries to the Web involving a given drug name, it is possible to retrieve pages co...
Carlo Curino, Yuanyuan Jia, Bruce Lambert, Patrici...