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» Data Mining via Support Vector Machines
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SIGIR
2008
ACM
14 years 10 months ago
Semi-supervised spam filtering: does it work?
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
Mona Mojdeh, Gordon V. Cormack
VLDB
2008
ACM
170views Database» more  VLDB 2008»
15 years 10 months ago
A multi-ranker model for adaptive XML searching
The evolution of computing technology suggests that it has become more feasible to offer access to Web information in a ubiquitous way, through various kinds of interaction device...
Ho Lam Lau, Wilfred Ng
IJBRA
2010
121views more  IJBRA 2010»
14 years 8 months ago
Mining Cytochrome b561 proteins from plant genomes
—Cytochrome b561 (Cyt-b561) proteins play important functions in plants such as anti-toxin defense reactions, growth and development, and prevention of damage to plants from exce...
Stephen O. Opiyo, Etsuko N. Moriyama
ISCA
2002
IEEE
105views Hardware» more  ISCA 2002»
15 years 3 months ago
Tarantula: A Vector Extension to the Alpha Architecture
Tarantula is an aggressive floating point machine targeted at technical, scientific and bioinformatics workloads, originally planned as a follow-on candidate to the EV8 processo...
Roger Espasa, Federico Ardanaz, Julio Gago, Roger ...
TIP
2010
141views more  TIP 2010»
14 years 4 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina