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111
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ALT
2004
Springer
15 years 9 months ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List
KDD
2006
ACM
181views Data Mining» more  KDD 2006»
16 years 1 months ago
Cryptographically private support vector machines
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
Helger Lipmaa, Sven Laur, Taneli Mielikäinen
91
Voted
LREC
2008
119views Education» more  LREC 2008»
15 years 2 months ago
Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study
Fixed, limited budgets often constrain the amount of expert annotation that can go into the construction of annotated corpora. Estimating the cost of annotation is the first step ...
Eric K. Ringger, Marc Carmen, Robbie Haertel, Kevi...
62
Voted
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
14 years 11 months ago
"Architectural Robotics": An interdisciplinary course rethinking the machines we live in
Abstract— We discuss disciplinary barriers which have traditionally prevented robotics from significantly impacting the built (architectural) environment we inhabit. Specifical...
Apoorva Kapadia, Ian D. Walker, Keith Evan Green, ...
114
Voted
ICMLA
2009
14 years 10 months ago
Structured Prediction with Relative Margin
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
Pannagadatta K. Shivaswamy, Tony Jebara