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DAGSTUHL
2007
13 years 11 months ago
Calculus and Algebra for Distributed Data Management
Abstract. The sharing of content by communities of users (e.g., scientists) in a P2P context remains cumbersome. We argue that main reasons for this is the lack of calculus and alg...
Serge Abiteboul
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 8 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
PODC
2006
ACM
14 years 4 months ago
Sketching asynchronous streams over a sliding window
We study the problem of maintaining sketches of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in w...
Srikanta Tirthapura, Bojian Xu, Costas Busch
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 11 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 8 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims