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ICAC
2006
IEEE
14 years 4 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
WWW
2001
ACM
14 years 11 months ago
Online Learning in Hong Kong: A Preliminary Comparison of the Lecture and Online Versions of a Computing Fundamentals Course
This case study compares students' learning experience and outcomes in the lecture and online versions of a first-year introductory computing course offered at the Department...
Giovanni B. Moneta, Synnöve Kekkonen-Moneta
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 8 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
CEC
2010
IEEE
13 years 8 months ago
On-line evolution of robot controllers by an encapsulated evolution strategy
This paper describes and experimentally evaluates the viability of the (
Evert Haasdijk, A. E. Eiben, Giorgos Karafotias
INFOCOM
2009
IEEE
14 years 5 months ago
Online Bipartite Perfect Matching With Augmentations
—In this paper, we study an online bipartite matching problem, motivated by applications in wireless communication, content delivery, and job scheduling. In our problem, we have ...
Kamalika Chaudhuri, Constantinos Daskalakis, Rober...