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» Learning When to Use Lazy Learning in Constraint Solving
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ICCV
2009
IEEE
16 years 2 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
78
Voted
CHI
2006
ACM
15 years 10 months ago
The paradox of the assisted user: guidance can be counterproductive
This paper investigates the influence of interface styles on problem solving performance. It is often assumed that performance on problem solving tasks improves when users are ass...
Christof van Nimwegen, Daniel D. Burgos, Herre van...
ICML
2009
IEEE
15 years 10 months ago
Bandit-based optimization on graphs with application to library performance tuning
The problem of choosing fast implementations for a class of recursive algorithms such as the fast Fourier transforms can be formulated as an optimization problem over the language...
Arpad Rimmel, Frédéric de Mesmay, Ma...
73
Voted
IEICET
2010
132views more  IEICET 2010»
14 years 8 months ago
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers
Estimating the ratio of two probability density functions (a.k.a. the importance) has recently gathered a great deal of attention since importance estimators can be used for solvi...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, J...
PERCOM
2005
ACM
15 years 9 months ago
Securing Wireless Networks in a University Environment
Many applications in eLearning utilize wireless networks (WLAN) as a carrier for data and communication. These networks in their basic form are insecure, protecting the communicat...
Jochen Eisinger, Peter Winterer, Bernd Becker