1707 search results - page 230 / 342 » A Boosting Algorithm for Regression |
124
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
177
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ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
129
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RECSYS
2009
ACM
15 years 8 months ago
2009
ACM
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
134
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CORR
2007
Springer
15 years 3 months ago
2007
Springer
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
119
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TIP
2008
15 years 3 months ago
2008
The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in o...