Learning Technology Newsletter, Vol. 10, Issue 2, April 2008
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چکیده
This paper proposes an adaptive technique in the prediction of dichotomous response variable by combining fuzzy concept with statistical logistic regression. The model was tested on cancer dataset in predicting cancer susceptibility. In this paper we will present the development, evaluation and validation of the proposed model based on the experiment carried out. Explanatory power of the adaptive model was calculated and compared with fuzzy neural network and statistical logistic regression models using calibration and discrimination techniques. Area under ROC values calculated indicates that the proposed model has compatible predictive ability to both fuzzy neural network and statistical logistic regression models.
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Learning Technology Newsletter, Vol. 10, Issue 1, January 2008
In this paper, we describe the design problems of the non-verbal conversational interfaces for the electronic textbooks and the role of feedback.
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The Internet changes our vision about teaching and learning. The educational system has become more open and flexible. What is the difference in teaching and learning processes in closed and open didactical systems?
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