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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 4 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 4 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
SIGSOFT
2010
ACM
15 years 4 months ago
Software is data too
Software systems are designed and engineered to process data. However, software is data too. The size and variety of today's software artifacts and the multitude of stakehold...
Andrian Marcus, Tim Menzies
AINA
2009
IEEE
15 years 4 months ago
Approximating Travel Times Using Opportunistic Networking
Determining the time and means by which to travel from location A to location B for a person utilising a MANET requires the dissemination of both realtime and historic data. In thi...
Rudi Ball, Naranker Dulay
ICASSP
2009
IEEE
15 years 4 months ago
Robust Bayesian tracking on Riemannian manifolds via fragments-based representation
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
Yi Wu, Jinqiao Wang, Hanqing Lu
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