Amanote Research

Amanote Research

    RegisterSign In

Performance of Inductive Method of Model Self-Organization With Incomplete Model and Noisy Data

doi 10.1109/micai.2008.72
Full Text
Open PDF
Abstract

Available in full text

Date

October 1, 2008

Authors
Natalia PonomarevaMikhail AlexandrovAlexander Gelbukh
Publisher

IEEE


Related search

A Robust Classification of Galaxy Spectra: Dealing With Noisy and Incomplete Data

Astronomical Journal
AstrophysicsAstronomyPlanetary ScienceSpace
1999English

Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data

2009English

Inference With an Incomplete Model of English Auctions

Journal of Political Economy
EconomicsEconometrics
2003English

Dynamic Data-Driven Model Reduction: Adapting Reduced Models From Incomplete Data

Advanced Modeling and Simulation in Engineering Sciences
ModelingApplied MathematicsComputer Science ApplicationsEngineeringSimulation
2016English

Employee-Organization Congruence and Job Performance: Development of a Conceptual Model

Global Disclosure of Economics and Business
2013English

Bayesian Model Updating Using Incomplete Modal Data Without Mode Matching

2016English

Self-Organization in Psychotherapy: Testing the Synergetic Model of Change Processes

Frontiers in Psychology
Psychology
2014English

Noisy Spins and the Richardson-Gaudin Model

Physical Review Letters
AstronomyPhysics
2018English

Turing: Brain Model Still Incomplete

Nature
Multidisciplinary
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy