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» Modeling When Connections Are the Problem
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ATAL
2009
Springer
16 years 1 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
QOSA
2007
Springer
16 years 1 months ago
Reusable Architectural Decision Models for Enterprise Application Development
Abstract. In enterprise application development and other software construction projects, a critical success factor is to make sound architectural decisions. Text templates and too...
Olaf Zimmermann, Thomas Gschwind, Jochen Malte K&u...
176
Voted
IJAR
2010
105views more  IJAR 2010»
15 years 4 months ago
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
In this paper we present TANC, i.e., a tree-augmented naive credal classifier based on imprecise probabilities; it models prior near-ignorance via the Extreme Imprecise Dirichlet ...
G. Corani, C. P. de Campos
173
Voted
CHI
2005
ACM
16 years 7 months ago
Examining task engagement in sensor-based statistical models of human interruptibility
The computer and communication systems that office workers currently use tend to interrupt at inappropriate times or unduly demand attention because they have no way to determine ...
James Fogarty, Andrew Jensen Ko, Htet Htet Aung, E...
195
Voted
ACSAC
2009
IEEE
16 years 1 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...