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» Pseudorandom numbers and entropy conditions
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ICML
2003
IEEE
16 years 6 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
BERTINORO
2005
Springer
15 years 11 months ago
Self-Management of Virtual Paths in Dynamic Networks
Abstract Virtual path management in dynamic networks poses a number of challenges related to combinatorial optimisation, fault and traffic handling. Ideally such management should ...
Poul E. Heegaard, Otto Wittner, Bjarne E. Helvik
MCS
2001
Springer
15 years 10 months ago
Automatic Model Selection in a Hybrid Perceptron/Radial Network
We provide several enhancements to our previously introduced algorithm for a sequential construction of a hybrid network of radial and perceptron hidden units [6]. At each stage, ...
Shimon Cohen, Nathan Intrator
TSP
2008
71views more  TSP 2008»
15 years 6 months ago
Multiple Description Trellis-Coded Quantization of Sinusoidal Parameters
A new scheme for sinusoidal audio coding named multiple description spherical trellis-coded quantization is proposed and analytic expressions for the point densities and expected d...
Morten Holm Larsen, Mads Græsbøll Chr...
JMLR
2010
153views more  JMLR 2010»
15 years 25 days ago
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
Gideon S. Mann, Andrew McCallum