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» Evaluating algorithms that learn from data streams
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JMLR
2010
93views more  JMLR 2010»
15 years 1 months ago
Erratum: SGDQN is Less Careful than Expected
The SGD-QN algorithm described in (Bordes et al., 2009) contains a subtle flaw that prevents it from reaching its design goals. Yet the flawed SGD-QN algorithm has worked well eno...
Antoine Bordes, Léon Bottou, Patrick Gallin...
VLDB
2004
ACM
147views Database» more  VLDB 2004»
15 years 12 months ago
Client-Based Access Control Management for XML documents
The erosion of trust put in traditional database servers and in Database Service Providers, the growing interest for different forms of data dissemination and the concern for prot...
Luc Bouganim, François Dang Ngoc, Philippe ...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 4 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
FLAIRS
2010
15 years 9 months ago
Gamed-Based iSTART Practice: From MiBoard to Self-Explanation Showdown
MiBoard (Multiplayer Interactive Board Game) is an online, turnbased board game that was developed to assess the integration of game characteristics (point rewards, game-like inte...
Justin F. Brunelle
EMNLP
2010
15 years 4 months ago
Improving Gender Classification of Blog Authors
The problem of automatically classifying the gender of a blog author has important applications in many commercial domains. Existing systems mainly use features such as words, wor...
Arjun Mukherjee, Bing Liu