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» Learning to learn with the informative vector machine
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SAC
2006
ACM
15 years 10 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
ECTEL
2006
Springer
15 years 8 months ago
Interoperability for Peer-to-Peer Networks: Opening P2P to the Rest of the World
Due to the information growth, distributed environments are offered as a feasible and scalable solution where Peerto-Peer networks have become more relevant. They bring many advan...
Ingo Brunkhorst, Daniel Olmedilla
SIGIR
2008
ACM
15 years 4 months ago
Automatically identifying localizable queries
Personalization of web search results as a technique for improving user satisfaction has received notable attention in the research community over the past decade. Much of this wo...
Michael J. Welch, Junghoo Cho
COLT
2010
Springer
15 years 2 months ago
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback
Bandit convex optimization is a special case of online convex optimization with partial information. In this setting, a player attempts to minimize a sequence of adversarially gen...
Alekh Agarwal, Ofer Dekel, Lin Xiao
ESANN
2006
15 years 5 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...