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KDD
2004
ACM
330views Data Mining» more  KDD 2004»
16 years 8 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
HICSS
2009
IEEE
122views Biometrics» more  HICSS 2009»
16 years 2 months ago
Impacts of Organizational Learning and Knowledge Transfer on Investment Decisions under Uncertainty
Investments in innovative technologies face uncertainties and are often made in stages. We develop a multi-period game-theoretical model where the potential of a new technology is...
Xianjun Geng, Lihui Lin, Andrew B. Whinston
MICRO
2009
IEEE
113views Hardware» more  MICRO 2009»
16 years 2 months ago
Portable compiler optimisation across embedded programs and microarchitectures using machine learning
Building an optimising compiler is a difficult and time consuming task which must be repeated for each generation of a microprocessor. As the underlying microarchitecture changes...
Christophe Dubach, Timothy M. Jones, Edwin V. Boni...
CIKM
2009
Springer
16 years 2 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
ICALT
2008
IEEE
16 years 1 months ago
Encouraging Persons with Hearing Problem to Learn Sign Language by Internet Websites
Nowadays the Internet users are from different ages and groups. Disabled people are a group of the Internet users. Some websites are especially created for these people. One group...
Mohammad Shirali-Shahreza, Sajad Shirali-Shahreza