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» Argument Based Machine Learning Applied to Law
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AAAI
2006
15 years 4 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
PROVSEC
2009
Springer
15 years 8 months ago
Oracle Separation in the Non-uniform Model
Abstract. Oracle separation methods are used in cryptography to rule out blackbox reductions between cryptographic primitives. It is sufficient to find an oracle relative to whic...
Ahto Buldas, Sven Laur, Margus Niitsoo
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
16 years 3 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
131
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JIIS
2006
73views more  JIIS 2006»
15 years 3 months ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor
ECML
2007
Springer
15 years 7 months ago
Ensembles of Multi-Objective Decision Trees
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...