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JMLR
2010
154views more  JMLR 2010»
13 years 2 months ago
MOA: Massive Online Analysis
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernha...
ASC
2004
13 years 7 months ago
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
George D. Magoulas, Vassilis P. Plagianakos, Micha...
SIGECOM
2006
ACM
93views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
The sequential auction problem on eBay: an empirical analysis and a solution
Bidders on eBay have no dominant bidding strategy when faced with multiple auctions each offering an item of interest. As seen through an analysis of 1,956 auctions on eBay for a...
Adam I. Juda, David C. Parkes
CCS
2005
ACM
14 years 1 months ago
An auctioning reputation system based on anomaly
Existing reputation systems used by online auction houses do not address the concern of a buyer shopping for commodities—finding a good bargain. These systems do not provide in...
Shai Rubin, Mihai Christodorescu, Vinod Ganapathy,...
IJISTA
2007
101views more  IJISTA 2007»
13 years 7 months ago
Incremental online PCA for automatic motion learning of eigen behaviour
: This paper presents an online learning framework for the behavior of an articulated body by capturing its motion using real-time video. In our proposed framework, supervised lear...
Xianhua Jiang, Yuichi Motai