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JMLR
2010
129views more  JMLR 2010»
15 years 1 months ago
Learning Polyhedral Classifiers Using Logistic Function
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Naresh Manwani, P. S. Sastry
ML
2010
ACM
135views Machine Learning» more  ML 2010»
15 years 1 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
SJ
2010
136views more  SJ 2010»
15 years 1 months ago
Optimizing the Migration to Future-Generation Passive Optical Networks (PON)
We study the upgrading problem of existing Passive Optical Networks (PONs) that need to increase their capacity at different points in time. Our method upgrades line rates and migr...
M. De Andrade, Massimo Tornatore, S. Sallent, Bisw...
TIP
2010
141views more  TIP 2010»
15 years 1 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
TMI
2010
123views more  TMI 2010»
15 years 1 months ago
Optimal Experimental Design for Diffusion Kurtosis Imaging
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
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