1897 search results - page 323 / 380 » Sparse Additive Machine |
101
Voted
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
107
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ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
100
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ICML
1998
IEEE
16 years 1 months ago
1998
IEEE
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
95
Voted
ICML
1997
IEEE
16 years 1 months ago
1997
IEEE
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
103
Voted
KDD
2008
ACM
16 years 1 months ago
2008
ACM
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...