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» Intrinsically Motivated Machines
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AGI
2008
13 years 9 months ago
Transfer Learning and Intelligence: an Argument and Approach
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
DIMVA
2008
13 years 9 months ago
FluXOR: Detecting and Monitoring Fast-Flux Service Networks
Botnets are large groups of compromised machines (bots) used by miscreants for the most illegal activities (e.g., sending spam emails, denial-of-service attacks, phishing and other...
Emanuele Passerini, Roberto Paleari, Lorenzo Marti...
EMNLP
2008
13 years 9 months ago
A Simple and Effective Hierarchical Phrase Reordering Model
While phrase-based statistical machine translation systems currently deliver state-of-theart performance, they remain weak on word order changes. Current phrase reordering models ...
Michel Galley, Christopher D. Manning
FLAIRS
2004
13 years 9 months ago
Characterizing Quality of Knowledge on Semantic Web
The Semantic Web is intended for knowledge sharing among agents as well as humans. To achieve this goal, Ontologies, which express knowledge in a certain vitality as well as in a ...
Kaustubh Supekar, Chintan Patel, Yugyung Lee
NIPS
2001
13 years 9 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson