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» Optimizing Complex Loss Functions in Structured Prediction
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ICML
2007
IEEE
14 years 10 months ago
Gradient boosting for kernelized output spaces
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
BIS
2009
107views Business» more  BIS 2009»
13 years 10 months ago
Framework for Value Prediction of Knowledge-Based Applications
Knowledge-based applications are characterized by their use of machine-understandable formalizations of expert knowledge. Complex knowledge structures, and the features which explo...
Ali Imtiaz, Tobias Bürger, Igor O. Popov, Ele...
INFOCOM
2011
IEEE
13 years 23 days ago
Risk sensitive optimal control framework applied to delay tolerant networks
—Epidemics dynamics can describe the dissemination of information in delay tolerant networks, in peer to peer networks and in content delivery networks. The control of such dynam...
Eitan Altman, Veeraruna Kavitha, Francesco De Pell...
VLSID
1999
IEEE
97views VLSI» more  VLSID 1999»
14 years 1 months ago
A New Methodology for Concurrent Technology Development and Cell Library Optimization
To minimize the time to market and cost of new sub 0.25um process technologies and products, PDF Solutions, Inc., has developed a new comprehensive approach based on the use of pr...
Marko P. Chew, Sharad Saxena, Thomas F. Cobourn, P...
CORR
2007
Springer
109views Education» more  CORR 2007»
13 years 9 months ago
Optimal Causal Inference
We consider an information-theoretic objective function for statistical modeling of time series that embodies a parametrized trade-off between the predictive power of a model and...
Susanne Still, James P. Crutchfield, Christopher J...