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ILP
2007
Springer
14 years 4 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
ICSE
1997
IEEE-ACM
14 years 2 months ago
Communication Metrics for Software Development
† We present empirical evidence that metrics on communication artifacts generated by groupware tools can be used to gain significant insight into the development process that pro...
Bernd Brügge, Allen H. Dutoit
GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
14 years 1 months ago
Use of statistical outlier detection method in adaptive evolutionary algorithms
In this paper, the issue of adapting probabilities for Evolutionary Algorithm (EA) search operators is revisited. A framework is devised for distinguishing between measurements of...
James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker
KDID
2004
132views Database» more  KDID 2004»
13 years 11 months ago
An Automata Approach to Pattern Collections
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
IJCAI
2001
13 years 11 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller