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» The security of machine learning
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MAS
1998
Springer
152views Communications» more  MAS 1998»
15 years 9 months ago
D'Agents: Security in a Multiple-Language, Mobile-Agent System
Abstract. Mobile-agent systems must address three security issues: protecting an individual machine, protecting a group of machines, and protecting an agent. In this chapter, we di...
Robert S. Gray, David Kotz, George Cybenko, Daniel...
SIGMOD
2009
ACM
185views Database» more  SIGMOD 2009»
16 years 5 months ago
Attacks on privacy and deFinetti's theorem
In this paper we present a method for reasoning about privacy using the concepts of exchangeability and deFinetti's theorem. We illustrate the usefulness of this technique by...
Daniel Kifer
AI
2008
Springer
15 years 11 months ago
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Marina Sokolova, Guy Lapalme
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
15 years 9 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
ALT
2001
Springer
16 years 1 months ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...