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» Large Mesh Simplification using Processing Sequences
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NIPS
1998
13 years 9 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICIP
2009
IEEE
13 years 6 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
AIA
2006
13 years 9 months ago
Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT
Model-based diagnosis of technical systems requires both a simulation machinery and a logic calculus. The former is responsible for the system's behavior analysis, the latter...
Benno Stein, Oliver Niggemann, Theodor Lettmann
CSB
2003
IEEE
121views Bioinformatics» more  CSB 2003»
14 years 1 months ago
Epitope Prediction Algorithms for Peptide based Vaccine Design
Peptide-based vaccines, in which small peptides derived from target proteins (epitopes) are used to provoke an immune reaction, have attracted considerable attention recently as a...
Liliana Florea, Bjarni V. Halldórsson, Oliv...
ICIP
2008
IEEE
14 years 10 months ago
Robust brain activation detection in functional MRI
Functional Magnetic Resonance Imaging (MRI) is today one of the most important non-invasive tools to study the brain from a functional point of view. The blood-oxygenation-level-d...
David M. Afonso, João M. Sanches, Martin H....