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» Learning Useful Horn Approximations
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KR
1992
Springer
13 years 8 months ago
Learning Useful Horn Approximations
While the task of answering queries from an arbitrary propositional theory is intractable in general, it can typicallybe performed e ciently if the theory is Horn. This suggests t...
Russell Greiner, Dale Schuurmans
ICALP
2010
Springer
13 years 9 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...
EUROCOLT
1999
Springer
13 years 9 months ago
Learning Range Restricted Horn Expressions
We study the learnability of first order Horn expressions from equivalence and membership queries. We show that the class of expressions where every term in the consequent of a c...
Roni Khardon
ICTAI
2007
IEEE
13 years 11 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
FUIN
2010
106views more  FUIN 2010»
13 years 2 months ago
Horn Knowledge Bases in Regular Description Logics with PTIME Data Complexity
Abstract. Developing a good formalism and an efficient decision procedure for the instance checking problem is desirable for practical application of description logics. The data c...
Linh Anh Nguyen