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» Learning for Dynamic Subsumption
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137
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JCS
2011
138views more  JCS 2011»
14 years 5 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...
128
Voted
IROS
2006
IEEE
152views Robotics» more  IROS 2006»
15 years 8 months ago
Locomotion Imitation of Humanoid Using Goal-directed Self-adjusting Adaptor
- We propose a novel framework for imitation learning that helps a humanoid robot achieve its goal of learning. There are apparent discrepancies in shapes and sizes among humans an...
Woosung Yang, Nak Young Chong, ChangHwan Kim, Bum-...
ATAL
2008
Springer
15 years 4 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
113
Voted
ISCAPDCS
2001
15 years 4 months ago
A Study of Parallel Monitoring Algorithm in ATM Network Admission Control
Admission control strategies play an important role in congestion control and in guaranteeing the quality of service in Asynchronous Transfer Mode (ATM) networks. Three categories...
Mansoor Alam, Carl Weisfelder, Min Song
126
Voted
UMUAI
2008
110views more  UMUAI 2008»
15 years 2 months ago
Modeling self-efficacy in intelligent tutoring systems: An inductive approach
Abstract. Self-efficacy is an individual's belief about her ability to perform well in a given situation. Because selfefficacious students are effective learners, endowing int...
Scott W. McQuiggan, Bradford W. Mott, James C. Les...