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COLT
1999
Springer
15 years 3 months ago
Multiclass Learning, Boosting, and Error-Correcting Codes
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
Venkatesan Guruswami, Amit Sahai
CVPR
2012
IEEE
13 years 4 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
ICECCS
2009
IEEE
119views Hardware» more  ICECCS 2009»
15 years 5 months ago
REMES: A Resource Model for Embedded Systems
In this paper, we introduce the model REMES for formal modeling and analysis of embedded resources such as storage, energy, communication, and computation. The model is a state-ma...
Cristina Cerschi Seceleanu, Aneta Vulgarakis, Paul...
IANDC
2011
119views more  IANDC 2011»
14 years 6 months ago
Quantitative Kleene coalgebras
We present a systematic way to generate (1) languages of (generalised) regular expressions, and (2) sound and complete axiomatizations thereof, for a wide variety of quantitative ...
Alexandra Silva, Filippo Bonchi, Marcello M. Bonsa...
ICML
2009
IEEE
15 years 6 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...