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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
14 years 11 months ago
Learning Algorithms for Link Prediction Based on Chance Constraints
In this paper, we consider the link prediction problem, where we are given a partial snapshot of a network at some time and the goal is to predict the additional links formed at a ...
Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lis...
96
Voted
FLAIRS
1998
15 years 1 months ago
Lazy Transformation-Based Learning
Weintroduce a significant improvementfor a relatively newmachine learning methodcalled Transformation-Based Learning. By applying a MonteCarlo strategy to randomly sample from the...
Ken Samuel
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
14 years 11 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
108
Voted
ICASSP
2010
IEEE
15 years 24 days ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...
105
Voted
BMCBI
2010
153views more  BMCBI 2010»
15 years 21 days ago
PPLook: an automated data mining tool for protein-protein interaction
Background: Extracting and visualizing of protein-protein interaction (PPI) from text literatures are a meaningful topic in protein science. It assists the identification of inter...
Shao-Wu Zhang, Yao-Jun Li, Li Xia, Quan Pan