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» Learning and Generalization with the Information Bottleneck
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SIGMOD
2012
ACM
223views Database» more  SIGMOD 2012»
13 years 9 months ago
MaskIt: privately releasing user context streams for personalized mobile applications
The rise of smartphones equipped with various sensors has enabled personalization of various applications based on user contexts extracted from sensor readings. At the same time i...
Michaela Götz, Suman Nath, Johannes Gehrke
CIKM
2003
Springer
15 years 11 months ago
Categorizing web queries according to geographical locality
Web pages (and resources, in general) can be characterized according to their geographical locality. For example, a web page with general information about wildflowers could be c...
Luis Gravano, Vasileios Hatzivassiloglou, Richard ...
IMC
2009
ACM
16 years 29 days ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
15 years 11 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
NIPS
2000
15 years 7 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...