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ICML
2004
IEEE
16 years 5 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
ICML
2000
IEEE
16 years 5 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
ICML
1999
IEEE
16 years 5 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
ICSE
2008
IEEE-ACM
16 years 5 months ago
jPredictor: a predictive runtime analysis tool for java
JPREDICTOR is a tool for detecting concurrency errors in JAVA programs. The JAVA program is instrumented to emit property-relevant events at runtime and then executed. The resulti...
Feng Chen, Traian-Florin Serbanuta, Grigore Rosu
ISBI
2004
IEEE
16 years 5 months ago
Local Feature Matching Using Entropic Graphs
We present a general framework for image discrimination based on identifying small, localized differences between images. Our novel matching scheme is based on an alternate inform...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson...