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AAAI
2007
15 years 7 months ago
Measuring the Level of Transfer Learning by an AP Physics Problem-Solver
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Matthew Klenk, Kenneth D. Forbus
159
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FLAIRS
2007
15 years 7 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
129
Voted
FLAIRS
2007
15 years 7 months ago
A Generic Memory Module for Events
Intelligent systems need to store their experience so that it can be reused. A memory for such systems needs to efficiently organize and search previous experience and to retriev...
Dan Tecuci, Bruce W. Porter
WSC
2007
15 years 7 months ago
Simulation tool for manpower forecast loading and resource leveling
Large scale / mega projects are lengthy complex endeavors that require significant planning by management, engineers and construction personnel to ensure the success of the projec...
Mikhail Hanna, Janaka Y. Ruwanpura
USS
2008
15 years 7 months ago
Multi-flow Attacks Against Network Flow Watermarking Schemes
We analyze several recent schemes for watermarking network flows based on splitting the flow into intervals. We show that this approach creates time dependent correlations that en...
Negar Kiyavash, Amir Houmansadr, Nikita Borisov
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