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» Evaluating algorithms that learn from data streams
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ML
2000
ACM
105views Machine Learning» more  ML 2000»
15 years 6 months ago
Multiple Comparisons in Induction Algorithms
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
David D. Jensen, Paul R. Cohen
IDA
2005
Springer
16 years 2 days ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka
ICDCSW
2005
IEEE
16 years 5 days ago
Parallel Bindings in Distributed Multimedia Systems
Today’s multimedia environments are characterized by different stationary and a growing number of mobile devices, like PDAs or even mobile phones. To meet their requirements reg...
Michael Repplinger, Florian Winter, Marco Lohse, P...
WWW
2009
ACM
16 years 7 months ago
Search shortcuts: driving users towards their goals
Giving suggestions to users of Web-based services is a common practice aimed at enhancing their navigation experience. Major Web Search Engines usually provide Suggestions under t...
Ranieri Baraglia, Fidel Cacheda, Victor Carneiro, ...
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
16 years 7 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare