Search Results - subject:"Machine Learning"

Using metrics from complex networks to evaluate machine translation

Amancio, D.R.; Nunes, M.G.V.; Oliveira, O.N.; Pardo, T.A.S. - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 1, pp. 131-142

machine learning methods and allowed MT texts of distinct qualities to be distinguished. Also shown is that the node … capturing of a wider context with the hierarchical levels may be combined with machine learning methods to yield an approach for …

Persistent link: https://www.econbiz.de/10010589456

The Design of Advertising Exchanges

McAfee, R. - In: Review of Industrial Organization 39 (2011) 3, pp. 169-185

Persistent link: https://www.econbiz.de/10009326909

Determination of sample size using power analysis and optimum bin size of histogram features

Indira, V.; Vasanthakumari, R.; Sakthivel, N.R.; … - In: International Journal of Data Analysis Techniques and … 3 (2011) 1, pp. 21-41

reported on identification of faults in roller bearing by using many techniques. Of late, application of machine learning … approach in fault diagnosis is gaining momentum. Machine learning approach consists of chain of activities like, data …

Persistent link: https://www.econbiz.de/10009352821

Logistic regression in data analysis: an overview

Maalouf, Maher - In: International Journal of Data Analysis Techniques and … 3 (2011) 3, pp. 281-299

analysis, specifically from an algorithmic and machine learning perspective and how LR can be applied to imbalanced and rare …

Persistent link: https://www.econbiz.de/10009352825

TABU PROGRAMMING: A NEW PROBLEM SOLVER THROUGH ADAPTIVE MEMORY PROGRAMMING OVER TREE DATA STRUCTURES

HEDAR, ABDEL-RAHMAN; MABROUK, EMAD; FUKUSHIMA, MASAO - In: International Journal of Information Technology & … 10 (2011) 02, pp. 373-406

-Heuristics Programming (MHP) as general machine learning tools. …

Persistent link: https://www.econbiz.de/10008914809

Bio-inspired intelligence for credit scoring

Goletsis, Yorgos; Exarchos, Themis P.; Katsis, Christos D. - In: International Journal of Financial Markets and Derivatives 2 (2011) 1/2, pp. 32-49

minimising their exposure to risk. In the current work, the applicability of recent developments in machine learning techniques …

Persistent link: https://www.econbiz.de/10010670191

Learning ontology relations by combining corpus-based techniques and reasoning on data from semantic web sources

Wohlgenannt, Gerhard - 2011

89 4.2.4 Machine Learning Paradigms 98 4.3 Literature Review …

Persistent link: https://www.econbiz.de/10010223240

Version Spaces and Generalized Monotone Boolean Functions

Bioch, Bioch, J.C.; Ibaraki, T. - Erasmus Research Institute of Management (ERIM), … - 2002

We consider generalized monotone functions f: X -- {0,1} defined for an arbitrary binary relation = on X by the property x = y implies f(x) = f(y). These include the standard monotone (or positive) Boolean functions, regular Boolean functions and other interesting functions as special cases. It...

Persistent link: https://www.econbiz.de/10011067465

The Empirics of Financial Development and Economic Growth: Using Unsupervised Learning to Detect Multiple Steady States

Birchenhall, Chris; Bree, David S.; Lakha, Rahim - Society for Computational Economics - SCE - 2002

Persistent link: https://www.econbiz.de/10005132828

Version Spaces and Generalized Monotone Boolean Functions

Bioch, J.C.; Ibaraki, T. - Erasmus Research Institute of Management (ERIM), ERIM … - 2002

Persistent link: https://www.econbiz.de/10005288445