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COLING
2007
14 years 9 months ago
Answering Clinical Questions with Knowledge-Based and Statistical Techniques
cally identifying clinically relevant aspects of MEDLINE abstracts. These extracted elements serve as the input to an algorithm that scores the relevance of citations with respect ...
Dina Demner-Fushman, Jimmy J. Lin
ESWS
2007
Springer
15 years 3 months ago
Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces
In this paper we propose an approach to semantic matchmaking that exploits various knowledge representation technologies to find most promising partners in peer-to-peer e-marketpl...
Azzurra Ragone, Umberto Straccia, Tommaso Di Noia,...
AE
2005
Springer
15 years 3 months ago
Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding
An encoding scheme for protein folding on lattice models, inspired by parametric L-systems, was proposed. The encoding incorporates problem domain knowledge in the form of predesig...
Gabriela Ochoa, Gabi Escuela, Natalio Krasnogor
HIS
2008
14 years 11 months ago
Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
EMNLP
2011
13 years 9 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen