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» A Quantitative Theory of Neural Computation
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640views
16 years 10 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
SOFSEM
2000
Springer
15 years 3 months ago
Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
Jürg Nievergelt
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 5 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
DLT
2009
14 years 9 months ago
Weighted versus Probabilistic Logics
While a mature theory around logics such as MSO, LTL, and CTL has been developed in the pure boolean setting of finite automata, weighted automata lack such a natural connection wi...
Benedikt Bollig, Paul Gastin
PLSA
1994
15 years 3 months ago
Language and Architecture Paradigms as Object Classes
Computer language paradigms offer linguistic abstractions and proof theories for expressing program implementations. Similarly, system architectures offer the hardware abstractions...
Diomidis Spinellis, Sophia Drossopoulou, Susan Eis...