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» Data-driven Induction of Functional Programs
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JLP
2007
114views more  JLP 2007»
13 years 7 months ago
Deaccumulation techniques for improving provability
Several induction theorem provers were developed to verify functional programs mechanically. Unfortunately, automatic verification often fails for functions with accumulating arg...
Jürgen Giesl, Armin Kühnemann, Janis Voi...
BMCBI
2011
13 years 2 months ago
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and proposi
Background: Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequenc...
Juliana S. Bernardes, Alessandra Carbone, Gerson Z...
SAINT
2005
IEEE
14 years 1 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
MPC
1995
Springer
125views Mathematics» more  MPC 1995»
13 years 11 months ago
Synthesizing Proofs from Programs in the Calculus of Inductive Constructions
We want to prove \automatically" that a program is correct with respect to a set of given properties that is a speci cation. Proofs of speci cations contain logical parts and ...
Catherine Parent
ILP
2004
Springer
14 years 27 days ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik