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KI
2007
Springer
16 years 21 days ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
AIEDAM
1998
87views more  AIEDAM 1998»
15 years 6 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh

Book
2028views
17 years 2 months ago
TCL Wise - Guide to the TCL Programming Language
"this book is an introduction to the main ideas of the Tcl programming language: If you wish to learn a simple and powerful programming language, this book is for you. To read...
Salvatore Sanfilippo
FASE
2008
Springer
15 years 8 months ago
A Model Checking Approach for Verifying COWS Specifications
We introduce a logical verification framework for checking functional properties of service-oriented applications formally specified using the service specification language COWS. ...
Alessandro Fantechi, Stefania Gnesi, Alessandro La...
NLP
2000
15 years 10 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...