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NIPS
2008
15 years 5 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...
NIPS
2008
15 years 5 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
FLAIRS
2006
15 years 5 months ago
Predicting Learners' Emotional Response in Intelligent Distance Learning Systems
Different research studies have proved that emotions meet a pivotal role in cognitive processes and in particular the studies made by Damasio who argues that human-beings without ...
Soumaya Chaffar, Claude Frasson
NIPS
2004
15 years 5 months ago
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
Prediction suffix trees (PST) provide a popular and effective tool for tasks such as compression, classification, and language modeling. In this paper we take a decision theoretic...
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
COLING
1996
15 years 5 months ago
Learning Dependencies between Case Frame Slots
We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we l)ropose a method of learning dependencies b...
Hang Li, Naoki Abe