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JMLR
2012
13 years 5 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
ALT
2005
Springer
15 years 11 months ago
Monotone Conditional Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true ...
Alexey V. Chernov, Marcus Hutter
ECML
2003
Springer
15 years 8 months ago
Experiments with Cost-Sensitive Feature Evaluation
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
Marko Robnik-Sikonja
COLT
2007
Springer
15 years 9 months ago
Aggregation by Exponential Weighting and Sharp Oracle Inequalities
In the present paper, we study the problem of aggregation under the squared loss in the model of regression with deterministic design. We obtain sharp oracle inequalities for conve...
Arnak S. Dalalyan, Alexandre B. Tsybakov
IPPS
2006
IEEE
15 years 9 months ago
Towards a parallel framework of grid-based numerical algorithms on DAGs
This paper presents a parallel framework of grid-based numerical algorithms where data dependencies between grid zones can be modeled by a directed acyclic graph (DAG). It consist...
Zeyao Mo, Aiqing Zhang, Xiaolin Cao