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AI50
2006
15 years 8 months ago
Adaptive Multi-modal Sensors
Compressing real-time input through bandwidth constrained connections has been studied within robotics, wireless sensor networks, and image processing. When there are bandwidth con...
Kyle Ira Harrington, Hava T. Siegelmann
ICMLA
2010
15 years 2 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...
ICML
2006
IEEE
16 years 5 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
SIMPRA
2008
83views more  SIMPRA 2008»
15 years 4 months 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
TSMC
2002
69views more  TSMC 2002»
15 years 4 months 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