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NIPS
2008
13 years 11 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
NAACL
2007
13 years 11 months ago
Combining Probability-Based Rankers for Action-Item Detection
This paper studies methods that automatically detect action-items in e-mail, an important category for assisting users in identifying new tasks, tracking ongoing ones, and searchi...
Paul N. Bennett, Jaime G. Carbonell
SPLC
2008
13 years 11 months ago
Reconciling Automation and Flexibility in Product Derivation
Product derivation, i.e. reusing core assets to build products, did not receive sufficient attention from the productline community, yielding a frustrating situation. On the one h...
Gilles Perrouin, Jacques Klein, Nicolas Guelfi, Je...
SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
13 years 11 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
VMV
2008
133views Visualization» more  VMV 2008»
13 years 11 months ago
Hierarchical Volume Visualization of Brain Anatomy
Scientific data-sets often come with an inherent hierarchical structure such as functional substructures within organs. In this work we propose a new visualization approach for vo...
Jean-Paul Balabanian, Ivan Viola, Martin Ystad, Ar...