1419 search results - page 240 / 284 » Approximation Methods for Supervised Learning |
AIED
2011
Springer
13 years 12 days ago
2011
Springer
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
WILF
2007
Springer
14 years 2 months ago
2007
Springer
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
BMCBI
2007
13 years 9 months ago
2007
Background: Computational prediction methods are currently used to identify genes in prokaryote genomes. However, identification of the correct translation initiation sites remain...
ICASSP
2011
IEEE
13 years 15 days ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...