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» An Algebraic Approach to Inductive Learning
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ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 10 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
ALT
2010
Springer
13 years 6 months ago
A Spectral Approach for Probabilistic Grammatical Inference on Trees
We focus on the estimation of a probability distribution over a set of trees. We consider here the class of distributions computed by weighted automata - a strict generalization of...
Raphaël Bailly, Amaury Habrard, Franço...
ICCBR
2001
Springer
14 years 2 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
ARTMED
2006
75views more  ARTMED 2006»
13 years 10 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
ICML
2009
IEEE
14 years 11 months ago
Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties
We describe an algorithm for constructing a set of acyclic conjunctive relational features by combining smaller conjunctive blocks. Unlike traditional level-wise approaches which ...
Filip Zelezný, Ondrej Kuzelka