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» Approximate Learning of Dynamic Models
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COMGEO
1999
ACM
15 years 6 months ago
Simplifying spline models
We present a new approach for simplifying models composed of rational spline patches. Given an input model, the algorithm computes a new approximation of the model in terms of cub...
M. Gopi, Dinesh Manocha
ICMLC
2005
Springer
15 years 11 months ago
Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
Zhengxing Sun, Wei Jiang, Jianyong Sun
PE
2008
Springer
106views Optimization» more  PE 2008»
15 years 6 months ago
Heavy traffic analysis of polling models by mean value analysis
In this paper we present a new approach to derive heavy-traffic asymptotics for polling models. We consider the classical cyclic polling model with exhaustive or gated service at ...
Robert D. van der Mei, Erik M. M. Winands
UAI
2004
15 years 7 months ago
PAC-learning Bounded Tree-width Graphical Models
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
Mukund Narasimhan, Jeff A. Bilmes
QEST
2009
IEEE
16 years 1 months ago
A Performance Model of Zoned Disk Drives with I/O Request Reordering
—Disk drives are a common performance bottleneck in modern storage systems. To alleviate this, disk manufacturers employ a variety of I/O request scheduling strategies which aim ...
Abigail S. Lebrecht, Nicholas J. Dingle, William J...