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SAC
2005
ACM
14 years 1 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
SIGCOMM
2012
ACM
11 years 10 months ago
Measuring and fingerprinting click-spam in ad networks
Advertising plays a vital role in supporting free websites and smartphone apps. Click-spam, i.e., fraudulent or invalid clicks on online ads where the user has no actual interest ...
Vacha Dave, Saikat Guha, Yin Zhang
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 10 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
CHI
1998
ACM
13 years 12 months ago
Hi-Cites: Dynamically Created Citations with Active Highlighting
The original SenseMaker interface for information exploration [2] used tables to present heterogeneous document descriptions. In contrast, printed bibliographies and World Wide We...
Michelle Q. Wang Baldonado, Terry Winograd
ECML
2006
Springer
13 years 11 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo