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» Proving Invariants of Functional Programs
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LFCS
1992
Springer
15 years 4 months ago
Machine Learning of Higher Order Programs
A generator program for a computable function (by definition) generates an infinite sequence of programs all but finitely many of which compute that function. Machine learning of ...
Ganesh Baliga, John Case, Sanjay Jain, Mandayam Su...
102
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Theoretical analyses on a class of nested RKHS's
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
89
Voted
IJCNN
2006
IEEE
15 years 6 months ago
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
— We present a simple, intuitive argument based on “invariant imbedding” in the spirit of dynamic programming to derive a stagewise second-order backpropagation (BP) algorith...
Eiji Mizutani, Stuart Dreyfus
79
Voted
CL
2007
Springer
15 years 15 days ago
Skeleton-based parallel programming: Functional and parallel semantics in a single shot
Semanticsofskeleton-basedparallelprogramminglanguagescomesusuallyastwodistinctitems:afunctionalsemantics,modeling the function computed by the skeleton program, and a parallel sem...
Marco Aldinucci, Marco Danelutto
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
15 years 5 months ago
Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data
Several researchers are using evolutionary search methods to search for test data with which to test a program. The fitness or cost function depends on the test goal but almost in...
Leonardo Bottaci