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BMCBI
2008
228views more  BMCBI 2008»
14 years 10 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
ECML
2000
Springer
15 years 2 months ago
Metric-Based Inductive Learning Using Semantic Height Functions
In the present paper we propose a consistent way to integrate syntactical least general generalizations (lgg's) with semantic evaluation of the hypotheses. For this purpose we...
Zdravko Markov, Ivo Marinchev
AAAI
1992
14 years 11 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
ECAI
2010
Springer
14 years 11 months ago
Learning Aggregation Functions for Expert Search
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
Ronan Cummins, Mounia Lalmas, Colm O'Riordan
ICCAD
2010
IEEE
156views Hardware» more  ICCAD 2010»
14 years 8 months ago
Boolean matching of function vectors with strengthened learning
Boolean matching for multiple-output functions determines whether two given (in)completely-specified function vectors can be identical to each other under permutation and/or negat...
Chih-Fan Lai, Jie-Hong R. Jiang, Kuo-Hua Wang