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» Active Learning with Model Selection in Linear Regression
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BMCBI
2008
165views more  BMCBI 2008»
13 years 9 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
APCSAC
2007
IEEE
14 years 3 months ago
Runtime Performance Projection Model for Dynamic Power Management
In this paper, a runtime performance projection model for dynamic power management is proposed. The model is built as a first-order linear equation using a linear regression model....
Sang Jeong Lee, Hae-Kag Lee, Pen-Chung Yew
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
13 years 10 months ago
Active Mining of Data Streams
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
IJON
2007
104views more  IJON 2007»
13 years 8 months ago
A probabilistic model of eye movements in concept formation
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
Jonathan D. Nelson, Garrison W. Cottrell
CVPR
2005
IEEE
14 years 10 months ago
A High Resolution Grammatical Model for Face Representation and Sketching
In this paper we present a generative, high resolution face representation which extends the well-known active appearance model (AAM)[5, 6, 7] with two additional layers. (i) One ...
Zijian Xu, Hong Chen, Song Chun Zhu