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» Agnostically Learning Halfspaces
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APPROX
2009
Springer
129views Algorithms» more  APPROX 2009»
15 years 8 months ago
Baum's Algorithm Learns Intersections of Halfspaces with Respect to Log-Concave Distributions
In 1990, E. Baum gave an elegant polynomial-time algorithm for learning the intersection of two origin-centered halfspaces with respect to any symmetric distribution (i.e., any D s...
Adam R. Klivans, Philip M. Long, Alex K. Tang
103
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COLT
2001
Springer
15 years 6 months ago
Limitations of Learning via Embeddings in Euclidean Half-Spaces
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines paradigm. We examine the question of determining the mini...
Shai Ben-David, Nadav Eiron, Hans-Ulrich Simon
44
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CORR
2010
Springer
44views Education» more  CORR 2010»
15 years 1 months ago
Learning Kernel-Based Halfspaces with the Zero-One Loss
Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridhara...
ALT
2009
Springer
15 years 10 months ago
Agnostic Clustering
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
Maria-Florina Balcan, Heiko Röglin, Shang-Hua...
COCOON
2007
Springer
15 years 8 months ago
Dimension, Halfspaces, and the Density of Hard Sets
We use the connection between resource-bounded dimension and the online mistake-bound model of learning to show that the following classes have polynomial-time dimension zero.
Ryan C. Harkins, John M. Hitchcock