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» Measuring the Complexity of Classification Problems
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ICPR
2006
IEEE
14 years 9 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
ISBI
2006
IEEE
14 years 9 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
KDD
2009
ACM
170views Data Mining» more  KDD 2009»
14 years 8 months ago
Genre-based decomposition of email class noise
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
Aleksander Kolcz, Gordon V. Cormack
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 8 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
CHI
2007
ACM
14 years 8 months ago
Web page revisitation revisited: implications of a long-term click-stream study of browser usage
This paper presents results of an extensive long-term clickstream study of Web browser usage. Focusing on character and challenges of page revisitation, previous findings from sev...
Hartmut Obendorf, Harald Weinreich, Eelco Herder, ...