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» Classifying Problems into Complexity Classes
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69
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NAR
2008
67views more  NAR 2008»
15 years 19 days ago
EpiToolKit - a web server for computational immunomics
Predicting the T-cell-mediated immune response is an important task in vaccine design and thus one of the key problems in computational immunomics. Various methods have been devel...
Magdalena Feldhahn, Philipp Thiel, Mathias M. Schu...
112
Voted
APIN
2002
90views more  APIN 2002»
15 years 16 days ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
LOGCOM
2010
120views more  LOGCOM 2010»
14 years 7 months ago
Paraconsistent Machines and their Relation to Quantum Computing
We describe a method to axiomatize computations in deterministic Turing machines (TMs). When applied to computations in non-deterministic TMs, this method may produce contradictor...
Juan C. Agudelo, Walter Alexandre Carnielli
ICDE
2011
IEEE
220views Database» more  ICDE 2011»
14 years 4 months ago
Generating test data for killing SQL mutants: A constraint-based approach
—Complex SQL queries are widely used today, but it is rather difficult to check if a complex query has been written correctly. Formal verification based on comparing a specifi...
Shetal Shah, S. Sudarshan, Suhas Kajbaje, Sandeep ...
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 5 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui