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139
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COLT
2008
Springer
15 years 5 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál
119
Voted
IVS
2007
100views more  IVS 2007»
15 years 3 months ago
NetLens: iterative exploration of content-actor network data
Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper n abstract Content-Actor ...
Hyunmo Kang, Catherine Plaisant, Bongshin Lee, Ben...
138
Voted
JUCS
2007
112views more  JUCS 2007»
15 years 3 months ago
Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
Leszek Borzemski
145
Voted
ICDM
2010
IEEE
99views Data Mining» more  ICDM 2010»
15 years 1 months ago
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
Jimeng Sun, Daby Sow, Jianying Hu, Shahram Ebadoll...
251
Voted
POPL
2007
ACM
16 years 4 months ago
PADS/ML: a functional data description language
Massive amounts of useful data are stored and processed in ad hoc formats for which common tools like parsers, printers, query engines and format converters are not readily availa...
Artem Gleyzer, David Walker, Kathleen Fisher, Mary...