نتایج جستجو برای: random forest bagging and machine learning

تعداد نتایج: 17018830  

2014
Mrinal Pandey S Taruna

Student performance prediction is a great area of concern for educational institutions to prevent their students from failure by providing necessary support and counseling to complete their degree successfully. The scope of this research is to examine the accuracy of the ensemble techniques for predicting the student's academic performance, particularly for four year engineering graduate p...

Journal: :JIPS 2014
Deepak Ghimire Joonwhoan Lee

An extreme learning machine (ELM) is a recently proposed learning algorithm for a single-layer feed forward neural network. In this paper we studied the ensemble of ELM by using a bagging algorithm for facial expression recognition (FER). Facial expression analysis is widely used in the behavior interpretation of emotions, for cognitive science, and social interactions. This paper presents a me...

2012
Sotiris Kotsiantis Dimitris Kanellopoulos D. KANELLOPOULOS

Bagging, boosting and random subspace methods are well known re-sampling ensemble methods that generate and combine a diversity of learners using the same learning algorithm for the base-regressor. In this work, we built an ensemble of bagging, boosting and random subspace methods ensembles with 8 sub-regressors in each one and then an averaging methodology is used for the final prediction. We ...

2018
Syed Asif Hassan Atif Hassan

The PhoP regulon, a two-component regulatory system is a well-studied system of Salmonella enterica serotype typhi and has proved to play a crucial role in the pathophysiology of typhoid as well as the intercellular survival of the bacterium within host macrophages. The absence of PhoP regulon in the human system makes regulatory proteins of PhoP regulon for target specific for future drug disc...

Journal: :Int. Arab J. e-Technol. 2009
Indra Mahadevan Selvakuberan Karuppasamy Rajaram Ramasamy

Increasing with the number of users, the need for automatic classification techniques with good classification accuracy increases as search engines depend on previously classified web pages stored in classified directories to retrieve the relevant results. Preprocessing is the important step in web page classification problem as most of the web pages contain more irrelevant information than rel...

Journal: :International Journal of Engineering, Science and Information Technology 2022

Nowadays, Undernutrition is the main cause of child death in developing countries. There are many people and organizations try to mitigate or minimize case death. Thus, this paper aimed has excellent method handle undernutrition by exploring efficacy machine learning (ML) approaches predict Stunting East Aceh administrative zones Indonesia identify most important predictors. The study employed ...

2014
Hala S. Own Ajith Abraham

Nowadays, classifier combination methodsreceives great attention from machine learning researchers. It is a powerful tool to improve the accuracy of classifiers. This approach has become increasingly interesting, especially for real-world problems, which are often characterized by their imbalanced nature. The unbalanced distribution of data leads to poor performance of most of the conventional ...

2011
José-Francisco Díez-Pastor César Ignacio García-Osorio Juan José Rodríguez Diez Andrés Bustillo

This paper proposes a method for constructing ensembles of decision trees: GRASP Forest. This method uses the metaheuristic GRASP, usually used in optimization problems, to increase the diversity of the ensemble. While Random Forest increases the diversity by randomly choosing a subset of attributes in each tree node, GRASP Forest takes into account all the attributes, the source of randomness ...

2017

In this thesis we will use Random Forests to define a trading strategy. Using this powerful machine learning technique, we will try to predict the daily price changes of financial products that move similarly over the long term, so-called cointegrated pairs. We propose a way to adjust our portfolio based on these prediction, while limiting our risk. Firstly, we test our strategy on data generat...

2017
Samuel Meyer Yiyi Chen Marti A. Hearst

Well-designed visualizations have an important role to play to aid in the public’s understanding of algorithms. This work presents a set of design principles for using visualization to explain machine learning algorithms specifically, and demonstrates these principles applied to the operations of the random forest algorithm.

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