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» Learning the Common Structure of Data
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129
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JMLR
2010
95views more  JMLR 2010»
14 years 10 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
138
Voted
ILP
2003
Springer
15 years 8 months ago
Relational IBL in Music with a New Structural Similarity Measure
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
Asmir Tobudic, Gerhard Widmer
RECOMB
2005
Springer
16 years 3 months ago
Predicting Transcription Factor Binding Sites Using Structural Knowledge
Abstract. Current approaches for identification and detection of transcription factor binding sites rely on an extensive set of known target genes. Here we describe a novel structu...
Tommy Kaplan, Nir Friedman, Hanah Margalit
142
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DGO
2009
139views Education» more  DGO 2009»
15 years 4 months ago
Citation analysis for e-government research
Various research papers question and analyze the maturity of the e-government research area and its stance as a scientific discipline. The common conclusion of these papers is the...
Nusa Erman
111
Voted
SEKE
2007
Springer
15 years 9 months ago
Adjudicator: A Statistical Approach for Learning Ontology Concepts from Peer Agents
— We present a statistical approach for software agents to learn ontology concepts from peer agents by asking them whether they can reach consensus on significant differences bet...
Behrouz Homayoun Far, Abdel Halim Elamy, Nora Houa...