Search research articles
Contact Us
Filters
Showing results (1-10 of 11) with videos related to
Page
of 2
Sort By:
Scandinavian Audiology. Supplementum
|
April 25, 2001
Using decision tree induction to model oculomotor data
K Viikki, E Isotalo, M Juhola, et al.
Journal of Medical Systems
|
June 22, 2001
Evaluating training data suitability for decision tree induction
K Viikki, M Juhola, I Pyykkö, et al.
The Annals of Otology, Rhinology, and Laryngology
|
February 24, 2000
Production of diagnostic rules from a neurotologic database with decision trees
E Kentala, K Viikki, I Pyykkö, et al.
Annals of the New York Academy of Sciences
|
November 17, 2001
Impact and management of confounding values and outliers in a neurotologic expert system
E Kentala, K Viikki, J Laurikkala, et al.
Methods of Information in Medicine
|
August 4, 1999
Comparison of genetic algorithms and other classification methods in the diagnosis of female urinary incontinence
J Laurikkala, M Juhola, S Lammi, et al.
Studies in Health Technology and Informatics
|
March 21, 2000
Modelling oculomotor data with decision tree induction
K Viikki, E Isotalo, M Juhola, et al.
Medical Informatics and the Internet in Medicine
|
February 16, 2000
Decision tree induction in the diagnosis of otoneurological diseases
K Viikki, E Kentala, M Juhola, et al.
Studies in Health Technology and Informatics
|
October 18, 2001
On classification capability of neural networks: a case study with otoneurological data
M Juhola, K Viikki, J Laurikkala, et al.
Acta Oto-Laryngologica. Supplementum
|
October 27, 2001
Classification of patients on the basis of otoneurological data by using Kohonen networks
M Juhola, J Laurikkala, K Viikki, et al.
Scandinavian Audiology. Supplementum
|
April 25, 2001
Application of artificial intelligence in audiology
M Juhola, K Viikki, J Laurikkala, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Scandinavian Audiology. Supplementum
|
April 25, 2001
Using decision tree induction to model oculomotor data
K Viikki, E Isotalo, M Juhola, et al.
Journal of Medical Systems
|
June 22, 2001
Evaluating training data suitability for decision tree induction
K Viikki, M Juhola, I Pyykkö, et al.
The Annals of Otology, Rhinology, and Laryngology
|
February 24, 2000
Production of diagnostic rules from a neurotologic database with decision trees
E Kentala, K Viikki, I Pyykkö, et al.
Annals of the New York Academy of Sciences
|
November 17, 2001
Impact and management of confounding values and outliers in a neurotologic expert system
E Kentala, K Viikki, J Laurikkala, et al.
Methods of Information in Medicine
|
August 4, 1999
Comparison of genetic algorithms and other classification methods in the diagnosis of female urinary incontinence
J Laurikkala, M Juhola, S Lammi, et al.
Studies in Health Technology and Informatics
|
March 21, 2000
Modelling oculomotor data with decision tree induction
K Viikki, E Isotalo, M Juhola, et al.
Medical Informatics and the Internet in Medicine
|
February 16, 2000
Decision tree induction in the diagnosis of otoneurological diseases
K Viikki, E Kentala, M Juhola, et al.
Studies in Health Technology and Informatics
|
October 18, 2001
On classification capability of neural networks: a case study with otoneurological data
M Juhola, K Viikki, J Laurikkala, et al.
Acta Oto-Laryngologica. Supplementum
|
October 27, 2001
Classification of patients on the basis of otoneurological data by using Kohonen networks
M Juhola, J Laurikkala, K Viikki, et al.
Scandinavian Audiology. Supplementum
|
April 25, 2001
Application of artificial intelligence in audiology
M Juhola, K Viikki, J Laurikkala, et al.
Page
of 2