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NIPS
2007
15 years 7 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
JISE
2006
76views more  JISE 2006»
15 years 6 months ago
Process and Planning Support for Iterative Porting
in an abstract Cartesian space of program versions characterized by dialect variables. An optimal solution to the problem is derived based on its translation to a restricted Intege...
Pradeep Varma
ICCS
2004
Springer
15 years 11 months ago
Evaluating the Performance of Skeleton-Based High Level Parallel Programs
We show in this paper how to evaluate the performance of skeleton-based high level parallel programs. Since many applications follow some commonly used algorithmic skeletons, we id...
Anne Benoit, Murray Cole, Stephen Gilmore, Jane Hi...
JUCS
2008
115views more  JUCS 2008»
15 years 6 months ago
Capturing Interaction Requirements in a Model Transformation Technology Based on MDA
: Currently, many models are used to capture functional software requirements. However, the Software Engineering community has faded interaction requirements into the background, d...
José Ignacio Panach, Sergio España, ...
PODS
2010
ACM
184views Database» more  PODS 2010»
15 years 11 months ago
Universally optimal privacy mechanisms for minimax agents
A scheme that publishes aggregate information about sensitive data must resolve the trade-off between utility to information consumers and privacy of the database participants. D...
Mangesh Gupte, Mukund Sundararajan