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NIPS
2007
13 years 11 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
13 years 11 months ago
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
Henrik Boström
TEC
2008
104views more  TEC 2008»
13 years 10 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson
PR
2010
129views more  PR 2010»
13 years 8 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
XPU
2010
Springer
13 years 8 months ago
Put It to the Test: Using Lightweight Experiments to Improve Team Processes
Experimentation is one way to gain insight into how processes perform for a team, but industry teams rarely do experiments, fearing that such educational excursions will incur extr...
Michael Keeling