2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)最新文献_第5页

Interactive Evaluation of Classifiers Under Limited Resources 有限资源下分类器的交互评价

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00033

Sabit Hassan, Shaden Shaar, B. Raj, Saquib Razak

引用次数: 1

Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources 利用神经网络提高分布式可再生资源下智能电网灵活性的讨论与回顾

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00211

Zeineb Hammami, M. S. Mouchaweh, W. Mouelhi, L. B. Said

引用次数: 2

Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels 带噪声标签训练的师生深度半监督学习

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00147

Zeyad Hailat, Xue-wen Chen

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引用次数: 4

Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games 不确定、动态、零和博弈的强化学习算法

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00015

S. Mukhopadhyay, Omkar J. Tilak, S. Chakrabarti

引用次数: 11

Multimodal Sentiment Analysis Using Deep Learning 使用深度学习的多模态情感分析

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00240

Rakhee Sharma, Ngoc Tan, F. Sadat

引用次数: 3

Inner Attention Based bi-LSTMs with Indexing for non-Factoid Question Answering 基于内注意的双lstm索引非虚构问答

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00009

Akshay Sharma, Chetan Harithas

{"title":"Inner Attention Based bi-LSTMs with Indexing for non-Factoid Question Answering","authors":"Akshay Sharma, Chetan Harithas","doi":"10.1109/ICMLA.2018.00009","DOIUrl":"https://doi.org/10.1109/ICMLA.2018.00009","url":null,"abstract":"In this paper, we focussed on non-factoid question answering problem using a bidirectional LSTM with an inner attention mechanism and indexing for better accuracy. Non factoid QA is an important task and can be significantly applied in constructing useful knowledge bases and extracting valuable information. The advantage of using Deep Learning frameworks in solving these kind of problems is that it does not require any feature engineering and other linguistic tools. The proposed approach is to extend a LSTM (Long Short Term Memory) model in two directions, one with a Convolutional layer and other with an inner attention mechanism, proposed by Bingning Wang, et al., to the LSTMs, to generate answer representations in accordance with the question. On top of this Deep Learning model we used an information retrieval model based on indexing to generate answers and improve the accuracy. The proposed methodology showed an improvement in accuracy over the referred model and respective baselines and also with respect to the answer lengths used. The models are tested with two non factoid QA data sets: TREC-QA and InsuranceQA.","PeriodicalId":6533,"journal":{"name":"2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)","volume":"1 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77102057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Automatic Recognition of Mild Cognitive Impairment and Alzheimers Disease Using Ensemble based 3D Densely Connected Convolutional Networks 基于集成三维密集连接卷积网络的轻度认知障碍和阿尔茨海默病自动识别

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00083

Shuqiang Wang, Hongfei Wang, Yanyan Shen, Xiangyu Wang

引用次数: 40

On Developing a UAV Pursuit-Evasion Policy Using Reinforcement Learning 基于强化学习的无人机追逃策略研究

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00138

Bogdan I. Vlahov, Eric Squires, Laura Strickland, Charles Pippin

引用次数: 29

Integrating Plausibility Checks and Machine Learning for Misbehavior Detection in VANET 集成可信性检查和机器学习的VANET不当行为检测

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00091

Steven So, Prinkle Sharma, J. Petit

引用次数: 88

Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics Luria交替系列测试对帕金森病诊断的详细分析

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Pub Date : 2018-12-01 DOI: 10.1109/ICMLA.2018.00219

S. Nõmm, K. Bardos, A. Toomela, Kadri Medijainen, P. Taba

引用次数: 12