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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 8 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
ALGORITHMICA
2000
161views more  ALGORITHMICA 2000»
13 years 7 months ago
Binary Searching with Nonuniform Costs and Its Application to Text Retrieval
We study the problem of minimizing the expected cost of binary searching for data where the access cost is not fixed and depends on the last accessed element, such as data stored i...
Gonzalo Navarro, Ricardo A. Baeza-Yates, Eduardo F...
ESORICS
2009
Springer
13 years 11 months ago
An Effective Method for Combating Malicious Scripts Clickbots
Abstract. Online advertising has been suffering serious click fraud problem. Fraudulent publishers can generate false clicks using malicious scripts embedded in their web pages. Ev...
Yanlin Peng, Linfeng Zhang, J. Morris Chang, Yong ...
EMSOFT
2010
Springer
13 years 5 months ago
Resource adaptations with servers for hard real-time systems
Many real-time applications are designed to work in different operating modes each characterized by different functionality and resource demands. With each mode change, resource d...
Nikolay Stoimenov, Lothar Thiele, Luca Santinelli,...
AI
2008
Springer
13 years 7 months ago
Solving quantified constraint satisfaction problems
We make a number of contributions to the study of the Quantified Constraint Satisfaction Problem (QCSP). The QCSP is an extension of the constraint satisfaction problem that can b...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...