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» The Predictability of Data Values
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191
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COLT
2008
Springer
15 years 8 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
CASES
2009
ACM
16 years 1 months ago
Tight WCRT analysis of synchronous C programs
Accurate estimation of the tick length of a synchronous program is essential for efficient and predictable implementations that are devoid of timing faults. The techniques to dete...
Partha S. Roop, Sidharta Andalam, Reinhard von Han...
172
Voted
SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
16 years 7 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
16 years 1 months ago
A Scheme for Haptic Data Transmission Under Various Network Conditions
Haptic Collaboration Virtual Environment (HCVE) is an enhanced virtual reality space that supports sense of touch, which is called “haptic”. In HCVE, remote users connected ov...
Yonghee You, Mee Young Sung, Kyungkoo Jun
NIPS
2004
15 years 8 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake