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» Constructing informative priors using transfer learning
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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 1 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 1 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
ACMIDC
2011
14 years 3 months ago
LightUp: a low-cost, multi-age toolkit for learning and prototyping electronics
LightUp is a constructionist platform to teach novices about electronics, and also a low-cost rapid-prototyping platform for more advanced users. The LightUp kit contains many bas...
Zain Asgar, Joshua Chan, Chang Liu, Paulo Blikstei...
BMCBI
2010
179views more  BMCBI 2010»
14 years 12 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
IM
2003
15 years 1 months ago
Generic On-Line Discovery of Quantitative Models for Service Level Management
: Quantitative models are needed for a variety of management tasks, including (a) identification of critical variables to use for health monitoring, (b) anticipating service level...
Yixin Diao, Frank Eskesen, Steve Froehlich, Joseph...