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ECML
2006
Springer
15 years 1 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
NIPS
2008
14 years 11 months ago
Clustered Multi-Task Learning: A Convex Formulation
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...
Laurent Jacob, Francis Bach, Jean-Philippe Vert
TASLP
2008
120views more  TASLP 2008»
14 years 9 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
CORR
2010
Springer
136views Education» more  CORR 2010»
14 years 7 months ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler
IPPS
2008
IEEE
15 years 4 months ago
Exploiting spatial parallelism in Ethernet-based cluster interconnects
In this work we examine the implications of building a single logical link out of multiple physical links. We use MultiEdge [12] to examine the throughput-CPU utilization tradeoff...
Stavros Passas, George Kotsis, Sven Karlsson, Ange...