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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 9 days ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
CSDA
2008
128views more  CSDA 2008»
14 years 12 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
CVPR
2008
IEEE
16 years 1 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
EUROSYS
2010
ACM
15 years 4 months ago
Fingerprinting the Datacenter: Automated Classification of Performance Crises
When a performance crisis occurs in a datacenter, rapid recovery requires quickly recognizing whether a similar incident occurred before, in which case a known remedy may apply, o...
Peter Bodik, Moises Goldszmidt, Armando Fox, Dawn ...
ENGL
2007
130views more  ENGL 2007»
14 years 12 months ago
Wavelet Based Classification for Cancer Diagnosis
— We make use of discrete wavelets to extract distinguishing features between normal and cancerous human breast tissue fluorescence spectra. These are then used in conjunction wi...
Bhadra Mani, C. Raghavendra Rao, P. Anantha Lakshm...