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EMNLP
2011
12 years 10 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
SIGGRAPH
1998
ACM
14 years 2 months ago
A Perceptually Based Adaptive Sampling Algorithm
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
Mark R. Bolin, Gary W. Meyer
JMLR
2010
107views more  JMLR 2010»
13 years 5 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
CHI
2004
ACM
14 years 10 months ago
Predictive human performance modeling made easy
Although engineering models of user behavior have enjoyed a rich history in HCI, they have yet to have a widespread impact due to the complexities of the modeling process. In this...
Bonnie E. John, Konstantine C. Prevas, Dario D. Sa...
UAI
2004
13 years 11 months ago
Predictive State Representations: A New Theory for Modeling Dynamical Systems
Modeling dynamical systems, both for control purposes and to make predictions about their behavior, is ubiquitous in science and engineering. Predictive state representations (PSR...
Satinder P. Singh, Michael R. James, Matthew R. Ru...