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» Realizability models and implicit complexity
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ICML
2003
IEEE
14 years 9 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
CHI
2009
ACM
14 years 9 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
VLSID
2003
IEEE
180views VLSI» more  VLSID 2003»
14 years 9 months ago
Automating Formal Modular Verification of Asynchronous Real-Time Embedded Systems
Most verification tools and methodologies such as model checking, equivalence checking, hardware verification, software verification, and hardware-software coverification often fl...
Pao-Ann Hsiung, Shu-Yu Cheng
APN
2009
Springer
14 years 3 months ago
Monotonicity in Service Orchestrations
Web Service orchestrations are compositions of different Web Services to form a new service. The services called during the orchestration guarantee a given Quality of Service (QoS...
Anne Bouillard, Sidney Rosario, Albert Benveniste,...
ICASSP
2007
IEEE
14 years 3 months ago
Using Structural Similarity Quality Metrics to Evaluate Image Compression Techniques
Perceptual image quality metrics have explicitly accounted for perceptual characteristics of the human visual system (HVS) by modeling sensitivity to subband noise as the just-not...
Alan C. Brooks, Thrasyvoulos N. Pappas