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IPCO
1998
152views Optimization» more  IPCO 1998»
13 years 11 months ago
Approximation Bounds for a General Class of Precedence Constrained Parallel Machine Scheduling Problems
Abstract. A well studied and difficult class of scheduling problems concerns parallel machines and precedence constraints. In order to model more realistic situations, we consider ...
Alix Munier, Maurice Queyranne, Andreas S. Schulz
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 10 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
ENTCS
2006
119views more  ENTCS 2006»
13 years 10 months ago
Trace Machines for Observing Continuous-Time Markov Chains
In this paper, we study several linear-time equivalences (Markovian trace equivalence, failure and ready trace equivalence) for continuous-time Markov chains that refer to the pro...
Verena Wolf, Christel Baier, Mila E. Majster-Ceder...
FUIN
2002
80views more  FUIN 2002»
13 years 9 months ago
P Systems with Replicated Rewriting and Stream X-Machines (Eilenberg Machines)
Abstract. The aim of this paper is to show how the P systems with replicated rewriting can be modeled by X-machines (also called Eilenberg machines). In the first approach, the par...
Joaquin Aguado, Tudor Balanescu, Anthony J. Cowlin...
TNN
2010
173views Management» more  TNN 2010»
13 years 4 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...