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» A Framework for Multiple-Instance Learning
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145
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JCS
2011
138views more  JCS 2011»
14 years 6 months ago
Automatic analysis of malware behavior using machine learning
Malicious software—so called malware—poses a major threat to the security of computer systems. The amount and diversity of its variants render classic security defenses ineffe...
Konrad Rieck, Philipp Trinius, Carsten Willems, Th...
117
Voted
SASO
2009
IEEE
15 years 10 months ago
Learning Non-Explicit Control Parameters of Self-Organizing Systems
Abstract—Controlling self-organizing systems with given control parameters is often unintuitive and inefficient for the user. Typically, there is some emergent behavior that the...
Don Miner, Marie desJardins
130
Voted
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
15 years 9 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
CIA
2001
Springer
15 years 8 months ago
Wizard of Oz Method for Learning Dialog Agents
This paper describes a framework to construct interface agents with example dialogs based on the tasks by the machine learning technology. The Wizard of Oz method is used to collec...
Masayuki Okamoto, Yeonsoo Yang, Toru Ishida
120
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IJCAI
2007
15 years 5 months ago
Learning Implied Global Constraints
Finding a constraint network that will be efficiently solved by a constraint solver requires a strong expertise in Constraint Programming. Hence, there is an increasing interest i...
Christian Bessière, Remi Coletta, Thierry P...