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126
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ICMLA
2010
14 years 10 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
105
Voted
ICML
2006
IEEE
16 years 1 months ago
Higher order learning with graphs
Recently there has been considerable interest in learning with higher order relations (i.e., three-way or higher) in the unsupervised and semi-supervised settings. Hypergraphs and...
Sameer Agarwal, Kristin Branson, Serge Belongie
89
Voted
SIMPRA
2008
83views more  SIMPRA 2008»
15 years 19 days ago
Learning by doing, learning spillovers and the diffusion of fuel cell vehicles
Fuel cell vehicles (FCVs) running on hydrogen do not cause local air pollution. Depending on the energy sources used to produce the hydrogen they may also reduce greenhouse gases ...
Malte Schwoon
70
Voted
TSMC
2002
69views more  TSMC 2002»
15 years 10 days ago
A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environm
An extended algorithm of the relative reward strength algorithm is proposed. It is shown that the proposed algorithm ensures the convergence with probability 1 to the optimal path ...
Norio Baba, Yoshio Mogami
113
Voted
WWW
2009
ACM
16 years 1 months ago
Measuring the similarity between implicit semantic relations from the web
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...