7378 search results - page 300 / 1476 » Introduction to Machine Learning |
188
click to vote
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
171
click to vote
ICALT
2010
IEEE
15 years 4 months ago
2010
IEEE
Emotions have a functional relevance to learning and achievement. Not surprisingly then, affective diagnoses are an important aspect of expert human mentoring. Computerbased learni...
167
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
158
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
199
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...