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» GraphLab: A New Framework for Parallel Machine Learning
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ALS
2003
Springer
14 years 23 days ago
Towards a Four Factor Theory of Anticipatory Learning
This paper takes an overtly anticipatory stance to the understanding of animat learning and behavior. It analyses four major animal learning theories and attempts to identify the a...
Mark Witkowski
IPPS
2009
IEEE
14 years 2 months ago
Resource-aware allocation strategies for divisible loads on large-scale systems
In this paper, we deal with the large-scale divisible load problem studied in [12]. We show how to reduce this problem to a classical preemptive scheduling problem on a single mac...
Anne Benoit, Loris Marchal, Jean-Francois Pineau, ...
COLT
1995
Springer
13 years 11 months ago
A Comparison of New and Old Algorithms for a Mixture Estimation Problem
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
David P. Helmbold, Yoram Singer, Robert E. Schapir...
ICALT
2003
IEEE
14 years 25 days ago
Initializing Student Models in Web-Based ITSs: A Generic Approach
The issue of initializing the model of a new student is of great importance for educational applications that aim at offering individualized support to students. In this paper we ...
Victoria Tsiriga, Maria Virvou
COLT
1999
Springer
13 years 12 months ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...