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» Probabilistic Inductive Logic Programming
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ICLP
1997
Springer
14 years 27 days ago
Parallel Evaluation Strategies for Functional Logic Languages
We introduce novel, sound, complete, and locally optimal evaluation strategies for functional logic programming languages. Our strategies combine, in a non-trivial way, two landma...
Sergio Antoy, Rachid Echahed, Michael Hanus
ILP
2007
Springer
14 years 2 months ago
Learning with Kernels and Logical Representations
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Paolo Frasconi
SYNTHESE
2008
131views more  SYNTHESE 2008»
13 years 8 months ago
A new formulation of the Principle of Indifference
This article goes to the foundations of Statistical Inference through a review of Carnap's logic theory of induction. From this point of view, it brings another solution to t...
Rodolfo de Cristofaro
TCS
2008
13 years 8 months ago
Absolute versus probabilistic classification in a logical setting
Suppose we are given a set W of logical structures, or possible worlds, a set of logical formulas called possible data and a logical formula . We then consider the classification p...
Sanjay Jain, Eric Martin, Frank Stephan
JAR
2002
83views more  JAR 2002»
13 years 8 months ago
Mathematical Programming Embeddings of Logic
Abstract. Can theorem proving in mathematical logic be addressed by classical mathematical techniques like the calculus of variations? The answer is surprisingly in the affirmative...
Vivek S. Borkar, Vijay Chandru, Sanjoy K. Mitter