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ICMLA
2010
15 years 1 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
ASM
2005
ASM
15 years 8 months ago
Modeling and Testing Hierarchical GUIs
Abstract. This paper presents a new approach to model and test hierarchical Graphical User Interfaces (GUIs). We exploit the structure of Hierarchical Finite State Machines (HFSMs)...
Ana Paiva, Nikolai Tillmann, João C. P. Far...
ICML
2002
IEEE
16 years 4 months ago
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
Guy Lebanon, John D. Lafferty
JUCS
2008
129views more  JUCS 2008»
15 years 3 months ago
The Remote Control Approach - An Architecture for Adaptive Scripting across Collaborative Learning Environments
: In this article we present an architecture for the integration of tutoring approaches and process scaffolds into existing collaborative applications. The architecture allows to c...
Andreas Harrer, Nils Malzahn, Astrid Wichmann
BMCBI
2007
226views more  BMCBI 2007»
15 years 3 months ago
MiRFinder: an improved approach and software implementation for genome-wide fast microRNA precursor scans
Background: MicroRNAs (miRNAs) are recognized as one of the most important families of noncoding RNAs that serve as important sequence-specific post-transcriptional regulators of ...
Ting-Hua Huang, Bin Fan, Max F. Rothschild, Zhi-Li...