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» Agnostically Learning Halfspaces
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APPROX
2009
Springer
129views Algorithms» more  APPROX 2009»
14 years 1 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
COLT
2001
Springer
13 years 11 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
CORR
2010
Springer
44views Education» more  CORR 2010»
13 years 6 months ago
Learning Kernel-Based Halfspaces with the Zero-One Loss
Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridhara...
ALT
2009
Springer
14 years 3 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
14 years 27 days 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