Sciweavers

587 search results - page 1 / 118
» Learning with Globally Predictive Tests
Sort
View
DIS
1998
Springer
13 years 9 months ago
Learning with Globally Predictive Tests
We introduce a new bias for rule learning systems. The bias only allows a rule learner to create a rule that predicts class membership if each test of the rule in isolation is pred...
Michael J. Pazzani
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
13 years 11 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla
FOCS
1990
IEEE
13 years 9 months ago
On the Predictability of Coupled Automata: An Allegory about Chaos
We show a sharp dichotomy between systems of identical automata with a symmetric global control whose behavior is easy to predict, and those whose behavior is hard to predict. The...
Samuel R. Buss, Christos H. Papadimitriou, John N....
CSB
2005
IEEE
117views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Protein Structure Prediction Using Physical-Based Global Optimization and Knowledge-Guided Fragment Packing
We describe a new method to predict the tertiary structure of new-fold proteins. Our two-phase approach combines the knowledge-based fragmentpacking with the minimization of a phy...
Jinhui Ding, Elizabeth Eskow, Nelson L. Max, Silvi...
ICCV
2009
IEEE
14 years 10 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...