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检索条件"任意字段=5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004"
182 条 记 录,以下是81-90 订阅
排序:
Machine learning or discrete choice models for car ownership demand estimation and prediction?  5
Machine learning or discrete choice models for car ownership...
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5th IEEE international conference on Models and Technologies for intelligent Transportation Systems, MT-ITS 2017
作者: Paredes, Miguel Hemberg, Erik O'Reilly, Una-May Zegras, Chris CSAIL and DUSP Massachusetts Institute of Technology CambridgeMA02139 United States
Discrete choice models are widely used to explain transportation behaviors, including a household's decision to own a car. they show how some distinct choice of human behavior or preference influences a decision. ... 详细信息
来源: 评论
Sparse Non-negative Matrix Factorization with Generalized Kullback-Leibler Divergence  17th
Sparse Non-negative Matrix Factorization with Generalized Ku...
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17th international conference on intelligent data engineering and automated learning (ideal)
作者: Chen, Jingwei Feng, Yong Liu, Yang Tang, Bing Wu, Wenyuan Chinese Acad Sci Chongqing Inst Green & Intelligent Technol Chongqing Key Lab Automated Reasoning & Cognit Chongqing 400714 Peoples R China Chongqing Jiaotong Univ Coll Informat Sci & Engn Chongqing 400074 Peoples R China Hunan Univ Sci & Technol Sch Comp Sci & Engn Xiangtan 411201 Peoples R China
Non-negative Matrix Factorization (NMF), especially with sparseness constraints, plays a critically important role in data engineering and machine learning. Hoyer (2004) presented an algorithm to compute NMF with exac... 详细信息
来源: 评论
Freight Vehicle Travel Time Prediction Using Sparse Gaussian Processes Regression with Trajectory data  1
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17th international conference on intelligent data engineering and automated learning (ideal)
作者: Li, Xia Bai, Ruibin Univ Nottingham Ningbo China Ningbo 315100 Zhejiang Peoples R China
Travel time prediction is important for freight transportation companies. Accurate travel time prediction can help these companies make better planning and task scheduling. For several reasons, most companies are not ... 详细信息
来源: 评论
Using the 5th dimensions of human visual perception to inspire automated edge and texture segmentation: A fuzzy spatial-taxon approach
Using the 5th dimensions of human visual perception to inspi...
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IEEE international conference on Cognitive Informatics
作者: Lauren Barghout Visiting Scholar at Berkeley Initiative for Soft Computing Electrical Engineering and Computer Science University of California at Berkeley Berkeley CA USA
With the recent stunning success of machine learning, artificially intelligent machine vision research falls (roughly) into two camps: the big data camp and cognitive informatics camp. Big data uses statistical method... 详细信息
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Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering
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15th international conference on intelligent data engineering and automated learning (ideal)
作者: Saez, Jose A. Luengo, Julian Stefanowski, Jerzy Herrera, Francisco Univ Granada CITIC UGR Dept Comp Sci & Artificial Intelligence E-18071 Granada Spain Univ Burgos Dept Civil Engn LSI E-09006 Burgos Spain Poznan Univ Tech Inst Comp Sci PL-60965 Poznan Poland
Imbalance data constitutes a great difficulty for most algorithms learning classifiers. However, as recent works claim, class imbalance is not a problem in itself and performance degradation is also associated with ot... 详细信息
来源: 评论
Fast Frequent Pattern Detection Using Prime Numbers
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15th international conference on intelligent data engineering and automated learning (ideal)
作者: Xylogiannopoulos, Konstantinos F. Addam, Omar Karampelas, Panagiotis Alhajj, Reda Univ Calgary Dept Comp Sci Calgary AB T2N 1N4 Canada Hellen Amer Univ Dept Informat Technol Manchester NH USA Global Univ Dept Comp Sci Beirut Lebanon Hellen Air Force Acad Dept Informat Computers Attica Greece
Finding all frequent itemsets (patterns) in a given database is a challenging process that in general consumes time and space. Time is measured in terms of the number of database scans required to produce all frequent... 详细信息
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Deep learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder
Deep Learning on Natural Viewing Behaviors to Differentiate ...
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14th international conference on intelligent data engineering and automated learning (ideal)
作者: Tseng, Po-He Paolozza, Angelina Munoz, Douglas P. Reynolds, James N. Itti, Laurent Univ So Calif Dept Comp Sci Los Angeles CA 90089 USA Queens Univ Ctr Neurosci Studies Kingston ON K7L 3N6 Canada
Computational models of visual attention have attracted strong interest by accurately predicting how humans deploy attention. However, little research has utilized these models to detect clinical populations whose att... 详细信息
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Advanced CT and MR image processing with FPGA
Advanced CT and MR image processing with FPGA
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13th international conference on intelligent data engineering and automated learning, ideal 2012
作者: Kasik, Vladimir Cerny, Martin Penhaker, Marek Snášel, Václav Novak, Vilem Pustkova, Radka VSB - Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Department of Cybernetics and Biomedical Engineering 17. listopadu 15 Ostrava 70833 Czech Republic Faculty Hospital Ostrava Child Neurology Clinic 17. listopadu 1790/5 Ostrava Czech Republic
the CT and MRI image processing is a task with high requirement of computation time and computation speed. the calculation process in the most cases consists of various steps that are inherently parallel. there is opp... 详细信息
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Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial data
Investigating the Behaviour of Radial Basis Function Network...
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11th international conference on intelligent data engineering and automated learning
作者: Guidali, Andrea Binaghi, Elisabetta Guglielmin, Mauro Pascale, Marco Univ Insubria Dept Comp Sci & Commun Via Mazzini 5 I-21100 Varese Italy Univ Insubria Dept Structural & Funct Biol I-21100 Varese Italy
this work investigates learning and generalisation capabilities of Radial Basis Function Networks used to solve function regression and classification tasks in the environmental context. In particular RBFN is applied ... 详细信息
来源: 评论
Generalized Derivative Based Kernelized learning Vector Quantization
Generalized Derivative Based Kernelized Learning Vector Quan...
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11th international conference on intelligent data engineering and automated learning
作者: Schleif, Frank-Michael Villmann, thomas Hammer, Barbara Schneider, Petra Biehl, Michael Univ Bielefeld Dept Techn Univ Str 21-23 D-33615 Bielefeld Germany Univ Appl Faculty Math Natural & CS D-09648 Mittweida Germany Univ Groningen Johann Bernoulli Inst Math & CS NL-9700 Groningen Netherlands
We derive a novel derivative based version of kernelized Generalized learning Vector Quantization (KGLVQ) as an effective, easy to interpret, prototype based and kernelized classifier. It is called D-KGLVQ and we prov... 详细信息
来源: 评论