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» Minimizing Learned Clauses
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IJCAI
1993
14 years 11 months ago
HYDRA: A Noise-tolerant Relational Concept Learning Algorithm
Many learning algorithms form concept descriptions composed of clauses, each of which covers some proportion of the positive training data and a small to zero proportion of the ne...
Kamal M. Ali, Michael J. Pazzani
ICTAI
2007
IEEE
15 years 4 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
DAC
2007
ACM
15 years 10 months ago
On-The-Fly Resolve Trace Minimization
The ability of modern SAT solvers to produce proofs of unsatisfiability for Boolean formulas has become a powerful tool for EDA applications. Proofs are generated from a resolve t...
Ohad Shacham, Karen Yorav
AAAI
2000
14 years 11 months ago
Integrating Equivalency Reasoning into Davis-Putnam Procedure
Equivalency clauses (Xors or modulo 2 arithmetics) represent a common structure in the SAT-encoding of many hard real-world problems and constitute a major obstacle to DavisPutnam...
Chu Min Li
ICALP
2010
Springer
15 years 2 months ago
On Approximate Horn Formula Minimization
The minimization problem for Horn formulas is to find a Horn formula equivalent to a given Horn formula, using a minimum number of clauses. A 2log1−ǫ (n) -inapproximability re...
Amitava Bhattacharya, Bhaskar DasGupta, Dhruv Muba...