«ensemble method»
۱۶٬۷۶۶ نتیجهMining Educational Data to Predict Student’s academic Performance using Ensemble Methods
Educational data mining has received considerable attention in the last few years. Many data mining techniques are proposed to extract the hidden knowledge from educational data. The extracted knowledge helps the institutions to improve their teaching methods and learning process
Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography
Ensemble methodology, which builds a classification model by integrating multiple classifiers, can be used for improving prediction performance. Researchers from various disciplines such as statistics, pattern recognition, and machine learning have seriously explored the use of e
GreedyBoost: An Accurate, Efficient and Flexible Ensemble Method for B2B Recommendations
Recommender systems have achieved great success in finding relevant products and services for individual customers, e.g. in B2C markets, during recent years. However, due to the diversity of enterprise clients’ requirements it is still an open question on how to successfully appl
Bayesian ensemble methods for survival prediction in gene expression data
MOTIVATION We propose a Bayesian ensemble method for survival prediction in high-dimensional gene expression data. We specify a fully Bayesian hierarchical approach based on an ensemble 'sum-of-trees' model and illustrate our method using three popular survival models. Our non-pa
Ensemble Methods for Phoneme Classiication
In this paper we investigate a number of ensemble methods for improving the performance of phoneme classiication for use in a speech recognition system. We discuss boosting and mixtures of experts, both in isolation and in combination. We present results on an isolated word datab
PhD Thesis Semi-Supervised Ensemble Methods for Computer Vision
V isual object classification and tracking are two of the cardinal problems in computer vision. Both tasks are extremely complicated and far from being solved. Recent advances towards building better detection and tracking systems were mainly achieved by improved representations
A Online NIR Sensor for the Pilot-Scale Extraction Process in Fructus Aurantii Coupled with Single and Ensemble Methods
Model performance of the partial least squares method (PLS) alone and bagging-PLS was investigated in online near-infrared (NIR) sensor monitoring of pilot-scale extraction process in Fructus aurantii. High-performance liquid chromatography (HPLC) was used as a reference method t
DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method
In this paper, we present a novel ensemble learning architecture for emotion intensity analysis, particularly a novel framework of ensemble method. The ensemble method has two stages and each stage includes several single machine learning models. In stage1, we employ both linear
Overall Survival Prediction for Women Breast Cancer using Ensemble Methods and Incomplete Clinical Data
Breast Cancer is the most common type of cancer in women worldwide. In spite of this fact, there are insufficient studies that, using data mining techniques, are capable of helping medical doctors in their daily practice. This paper presents a comparative study of three ensemble
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
Deep learning has become the state of the art approach in many machine learning problems such as classication. It has recently been shown that deep learning is highly vulnerable to adversarial perturbations. Taking the camera systems of self-driving cars as an example, small adv