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139
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ICML
2004
IEEE
16 years 3 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
119
Voted
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 3 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
128
Voted
ICAC
2007
IEEE
15 years 9 months ago
Autonomous Return on Investment Analysis of Additional Processing Resources
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...
Jonathan Wildstrom, Peter Stone, Emmett Witchel
MLMI
2007
Springer
15 years 8 months ago
Posterior-Based Features and Distances in Template Matching for Speech Recognition
The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties ...
Guillermo Aradilla, Hervé Bourlard
130
Voted
MLCW
2005
Springer
15 years 8 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...