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ICML
2005
IEEE
16 years 14 days ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
106
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ICWE
2011
Springer
14 years 3 months ago
Formal Modeling of RESTful Systems Using Finite-State Machines
Representational State Transfer (REST), as an architectural style for distributed hypermedia systems, enables scalable operation of the World Wide Web (WWW) and is the foundation f...
Ivan Zuzak, Ivan Budiselic, Goran Delac
CASES
2004
ACM
15 years 3 months ago
Translating affine nested-loop programs to process networks
New heterogeneous multiprocessor platforms are emerging that are typically composed of loosely coupled components that exchange data using programmable interconnections. The compon...
Alexandru Turjan, Bart Kienhuis, Ed F. Deprettere
ICCV
2009
IEEE
16 years 4 months ago
Using machine learning to predict where people look
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable o...
Tilke Judd, Krista Ehinger, Fr´edo Durand, Antoni...
OTM
2005
Springer
15 years 5 months ago
An XML-Based Cross-Language Framework
Abstract. We introduce XMLVM, a Turing complete XML-based programming language based on a stack-based, virtual machine. We show how XMLVM can automatically be created from Java cla...
Arno Puder