In this paper various ensemble learning methods from machine learning and statistics are considered and applied to the customer choice modeling problem. The application of ensemble learning usually improves the prediction quality of flexible models like decision trees and thus leads to improved predictions. We give experimental results for two real-life marketing datasets using decision trees, ...

the purpose of this study was to expose a group of iranian students to an e-learning program and find out the effects of this exposure on their learning and motivation strategies. this study made an attempt to evaluate the degree of strategy use in both traditional and e-learning modes of learning. moreover, the effects of the e-learning program of the participants of the study on learning stra...

In this paper we present a novel approach to detect salt bodies based on seismic attributes and supervised learning. We report on the use of a machine learning algorithm, Extremely Randomized Trees, to automatically identify and classify salt regions. We have worked with a complex synthetic seismic dataset from phase I model of the SEG Advanced Modeling Corporation (SEAM) that corresponds to de...

The Effects of Learning Self-Regulated Learning Strategies on High School Students' Math Problem-Solving Skills B. Shaalchi, Ph.D. Y. Rezaapoor J. Baabaapoor Kheyrodin, Ph.D. M. Alizaad Sardroodi F. Abdollaahi To see the effects of learning self-regulated learning strategies on math problem-solving skills among high school students, a sample of 271 randomly selected h...

background: different stressors induce learning and memory impairment and physical activity influence learning and memory enhancement. in this research, we investigated the effect of synchronized running activity with stress on acquisition and retention time of passive avoidance test. methods: male wistar rats were randomly divided into five groups as follows: control (co), sham (sh), exercise ...

Objectives The objective of this thesis is to examine word of mouth advice and its relationship with product sales and market shares in the context of the smartphone market. The thesis aims to determine the key properties of valuable word of mouth advice from a consumer’s perspective and seeks to identify the effects of sources and transmission methods on the valuation of word of mouth advice. ...

When performing a piece, a pianist’s interpretation is communicated both through the sound produced and through body gestures. We present PiaF (Piano Follower), a prototype for augmenting piano performance by measuring gesture variations. We survey other augmented piano projects, several of which focus on gestural recognition, and present our prototype which uses machine learning techniques for...

This paper generalizes the authors’ inferential model (IM) framework for priorfree, posterior probabilistic inference about unknown parameters. This generalization is accomplished by focusing on an association model determined by the sampling distribution of a function of the data and parameter. The advantage is that the new association model is generally easier to work with than that determine...