Predicting Concept Changes Using a Committee of Experts
نویسندگان
چکیده
In on-line machine learning, predicting changes is not a trivial task. In this paper, a novel prediction approach is presented, that relies on a committee of experts. Each expert is trained on a specific history of changes and tries to predict future changes. The experts are constantly modified based on their performance and the committee as a whole is thus dynamic and can adapt to a large variety of changes. Experimental results based on synthetic data show three advantages: (a) it can adapt to different types of changes, (b) it can use different types of prediction models and (c) the committee outperforms predictors trained on a priori fixed size history of changes.
منابع مشابه
A committee machine approach for predicting permeability from well log data: a case study from a heterogeneous carbonate reservoir, Balal oil Field, Persian Gulf
Permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. This study proposes an improved and novel model for predicting permeability from conventional well log data. The methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...
متن کاملPredicting Shear Stress Distribution in Rectangular Channels Using Entropy Concept
This study makes use of the Tsallis entropy to predict the shear stress distribution. Given a definition of the Tsallis entropy, it is maximized by using the probability density function, which then is used to attain a novel shear stress equation. This is then employed for calculating the shear stress distribution in rectangular channels in different aspect ratios and finally, for viability, th...
متن کاملA committee machine with empirical formulas for permeability prediction
This study integrates log-derived empirical formulas and the concept of the committee machine to develop an improved model for predicting permeability. A set of three empirical formulas, such as the Wyllie–Rose, Coates–Dumanoir, and porosity models to correlate reservoir well-logging information with measured core permeability, are used as expert members in a committee machine. A committee mach...
متن کاملPredicting bullying based on Thrill-seeking, school Atmosphere, students’ self-concept
Introduction: Bullying is widely considered as a serious personal, social and educational issue influencing a significant part of the students. The object of the study is to foretell bullying based on thrill-seeking and the atmosphere of the school together with self-concept mediation in students. Methods: The research is conducted through a descriptive methodology while using solidarity schem...
متن کاملLearning Concept Drift with a Committee of Decision Trees
Concept drift occurs when a target concept changes over time. I present a new method for learning shifting target concepts during concept drift. The method, called Concept Drift Committee (CDC), uses a weighted committee of hypotheses that votes on the current classification. When a committee member’s voting record drops below a minimal threshold, the member is forced to retire. A new committee...
متن کامل