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» Prediction on Spike Data Using Kernel Algorithms
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EUROSYS
2011
ACM
12 years 11 months ago
Scarlett: coping with skewed content popularity in mapreduce clusters
To improve data availability and resilience MapReduce frameworks use file systems that replicate data uniformly. However, analysis of job logs from a large production cluster show...
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth ...
AAAI
2008
13 years 10 months ago
Dormant Independence
The construction of causal graphs from non-experimental data rests on a set of constraints that the graph structure imposes on all probability distributions compatible with the gr...
Ilya Shpitser, Judea Pearl
ICML
2006
IEEE
14 years 8 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
IJCNN
2008
IEEE
14 years 2 months ago
Adaptive curiosity for emotions detection in speech
— Exploratory activities seem to be crucial for our cognitive development. According to psychologists, exploration is an intrinsically rewarding behaviour. The developmental robo...
Alexis Bondu, Vincent Lemaire
IPPS
2006
IEEE
14 years 1 months ago
A calculus of functional BSP programs with projection
Bulk Synchronous Parallel ML (BSML) is an extension of the functional language Objective Caml to program Bulk Synchronous Parallel (BSP) algorithms. It is deterministic, deadlock ...
Frédéric Loulergue