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NIPS
2003
14 years 11 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
15 years 10 months ago
Network anomaly detection based on Eigen equation compression
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...
Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata,...
BMCBI
2006
202views more  BMCBI 2006»
14 years 9 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau

Book
340views
16 years 5 months ago
Essentials of the Java Programming Language, Part 1
"If you are new to programming in the Java language, have some experience with other languages, and are familiar with things like displaying text or graphics or performing sim...
By Monica Pawlan
ICDAR
2009
IEEE
15 years 4 months ago
Isolated Handwritten Farsi Numerals Recognition Using Sparse and Over-Complete Representations
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral ...
Wumo Pan, Tien D. Bui, Ching Y. Suen