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» Kernel Machines and Boolean Functions
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ICML
2010
IEEE
13 years 9 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic
MICRO
2008
IEEE
124views Hardware» more  MICRO 2008»
14 years 3 months ago
SHARK: Architectural support for autonomic protection against stealth by rootkit exploits
Rootkits have become a growing concern in cyber-security. Typically, they exploit kernel vulnerabilities to gain root privileges of a system and conceal malware’s activities fro...
Vikas R. Vasisht, Hsien-Hsin S. Lee
ENTCS
2008
175views more  ENTCS 2008»
13 years 8 months ago
AGAPIA v0.1: A Programming Language for Interactive Systems and Its Typing System
A model (consisting of rv-systems), a core programming language (for developing rv-programs), several specification and analysis techniques appropriate for modeling, programming a...
Cezara Dragoi, Gheorghe Stefanescu
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
14 years 14 days ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
VLSISP
2011
358views Database» more  VLSISP 2011»
13 years 3 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...