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138
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SSPR
2004
Springer
15 years 11 months ago
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Tijl De Bie, Nello Cristianini
139
Voted
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 10 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
164
Voted
HASKELL
2006
ACM
15 years 11 months ago
RepLib: a library for derivable type classes
Some type class instances can be automatically derived from the structure of types. As a result, the Haskell language includes the “deriving” mechanism to automatic generates ...
Stephanie Weirich
167
Voted
FOAL
2007
ACM
15 years 9 months ago
Aspect-oriented programming with type classes
We consider the problem of adding aspects to a strongly typed language which supports type classes. We show that type classes as supported by the Glasgow Haskell Compiler can mode...
Martin Sulzmann, Meng Wang
160
Voted
OOPSLA
1989
Springer
15 years 9 months ago
Static Type Inference for Parametric Classes
Method inheritance and data abstraction are central features of objectoriented programming that are attained through a hierarchical organization of classes. Recent studies have sh...
Atsushi Ohori, Peter Buneman