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NECO
1998
83views more  NECO 1998»
13 years 9 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri
HPCA
2008
IEEE
14 years 10 months ago
Supporting highly-decoupled thread-level redundancy for parallel programs
The continued scaling of device dimensions and the operating voltage reduces the critical charge and thus natural noise tolerance level of transistors. As a result, circuits can p...
M. Wasiur Rashid, Michael C. Huang
ITICSE
2006
ACM
14 years 4 months ago
ASSISTing CS1 students to learn: learning approaches and object-oriented programming
Identifying and managing students who experience difficulty with learning to program is a challenge for CS educators. In an attempt to answer the familiar question “What makes f...
Janet Hughes, D. Ramanee Peiris
ATAL
2010
Springer
13 years 10 months ago
Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...
JMLR
2012
12 years 14 days ago
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu