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ECML
1993
Springer
15 years 10 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
COLT
2007
Springer
15 years 9 months ago
An Efficient Re-scaled Perceptron Algorithm for Conic Systems
Abstract. The classical perceptron algorithm is an elementary algorithm for solving a homogeneous linear inequality system Ax > 0, with many important applications in learning t...
Alexandre Belloni, Robert M. Freund, Santosh Vempa...
139
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PODC
2010
ACM
15 years 9 months ago
Brief announcement: asynchronous bounded expected delay networks
We propose a natural generalisation of asynchronous bounded delay (ABD) network models. The commonly used ABD models assume a known bound on message delay. This assumption is ofte...
Rena Bakhshi, Jörg Endrullis, Wan Fokkink, Ju...
GECCO
2007
Springer
136views Optimization» more  GECCO 2007»
15 years 9 months ago
Configuring an evolutionary tool for the inventory and transportation problem
EVITA, standing for Evolutionary Inventory and Transportation Algorithm, aims to be a commercial tool to address the problem of minimising both the transport and inventory costs o...
Anna Esparcia-Alcázar, Lidia Lluch-Revert, ...
ICFEM
2007
Springer
15 years 9 months ago
Automating Refinement Checking in Probabilistic System Design
Abstract. Refinement plays a crucial role in "top-down" styles of verification, such as the refinement calculus, but for probabilistic systems proof of refinement is a pa...
Carlos Gonzalia, Annabelle McIver