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CE: The Classifier-Estimator Framework for Data Mining [chapter]

M. M. Dalkilic, E. L. Roberston, D. Gucht
1998 Data Mining and Reverse Engineering  
The aim of this research is to establish a coherent framework for data mining in the relational model.  ...  Observing that data mining depends on two partitions, the classi er and the estimator, this paper de nes the classi er=estimator CE framework.  ...  The aim of this research i s to establish a coherent framework for data mining in the relational model 8, 1, 27 .  ... 
doi:10.1007/978-0-387-35300-5_5 fatcat:ywffd5rj2jfedmxnpw3moezyaq

Multifactor CES general equilibrium: Models and applications

Jiyoung Kim, Satoshi Nakano, Kazuhiko Nishimura
2017 Economic Modelling  
We use linked input-output tables for Japan and the Republic of Korea as the data source for factor price and cost shares in two temporally distant states.  ...  We then construct a multi-sectoral general equilibrium model using the system of estimated CES unit cost functions, and evaluate the economy-wide propagation of an exogenous productivity stimuli, in terms  ...  growth can be measured by the same data (cost shares and price changes) as we estimate the productivity of a multi-factor CES function.  ... 
doi:10.1016/j.econmod.2017.01.024 fatcat:ohvylhgvf5expfetkezlxpeycy

CE-Net: A Coordinate Embedding Network for Mismatching Removal

Shiyu Chen, Jiqiang Niu, Cailong Deng, Yong Zhang, Feiyan Chen, Feng Xu
2021 IEEE Access  
Our codes and data are available on  ...  Mismatching removal is at the core yet still a challenging problem in the photogrammetry and computer vision field. In this paper, we propose a coordinate embedding network (named CE-Net).  ...  Whereas ''bad neighbors'' (i.e., matching outliers) are essentially noise and ''good neighbors'' (i.e., matching inliers) are actually useful information in data mining, these handcrafted mining methods  ... 
doi:10.1109/access.2021.3123942 fatcat:ztgx3wmnm5bftncb3ujq5teqze

Research on PM2.5 Concentration Prediction Based on the CE-AGA-LSTM Model

Xiaoxuan Wu, Chen Zhang, Jun Zhu, Xin Zhang
2022 Applied Sciences  
In this paper, a long- and short-term memory network (LSTM) suitable for time series data was selected as the prediction model, while the selection of model parameters was taken into account, and the relevant  ...  By comparing the experimental results of the CE-AGA-LSTM with those of other eight prediction models (LR, SVM, RF, ARMA, ST-LSTM, LSTM, CE-LSTM and CE-RNN), we found that among the models, the CE-AGA-LSTM  ...  Estimate the empirical Copula density function (ECD). Step 2. Estimate the CE.  ... 
doi:10.3390/app12147009 fatcat:66u5elv2cnh2xhapltzsdecknu

VAE-CE: Visual Contrastive Explanation using Disentangled VAEs [article]

Yoeri Poels, Vlado Menkovski
2021 arXiv   pre-print
In this paper we propose a model, denoted as Variational Autoencoder-based Contrastive Explanation (VAE-CE), that represents data with high-level concepts and uses this representation for both classification  ...  The goal of a classification model is to assign the correct labels to data. In most cases, this data is not fully described by the given set of labels.  ...  We estimate the mig for the class concepts in zy fol- To create change pairs, images are augmented according lowing the same procedure as [29].  ... 
arXiv:2108.09159v1 fatcat:onejltviqzavfm6phethxxux3q

Bilateral multifactor CES general equilibrium with state-replicating Armington elasticities

Jiyoung Kim, Satoshi Nakano, Kazuhiko Nishimura
2017 Asia-Pacific Journal of Regional Science  
Along with the sectoral multifactor CES elasticities which we estimate by regression using a set of disaggregated linked input--output observations, we integrate domestic production of two countries, namely  ...  We measure elasticity of substitution between foreign and domestic commodities by two-point calibration such that the Armington aggregator can replicate the two temporally distant observations of market  ...  Acknowledgements The authors would like to thank the anonymous reviewers and the editor of this journal for the helpful comments and suggestions.  ... 
doi:10.1007/s41685-017-0068-7 fatcat:oklnzsly3fesrppwo7wnbluzka

Abbreviations and Acronyms [chapter]

2000 CE Conformity Marking  
ADB, OECD, and TI do not guarantee the accuracy of the data included in this publication and accept no responsibility whatsoever for any consequences of their use.  ...  The findings, interpretations, and conclusions expressed in it do not necessarily represent the views of ADB or those of its member governments, of the OECD and its member countries, or of Transparency  ...  They will also Actively pursue bilateral and multilateral contacts with all stakeholders for advancing the implementation of this framework for action; Discuss the framework for action with the international  ... 
doi:10.1016/b978-075064813-4/50020-5 fatcat:njvyujodlfgxddf5co5rwkheia

Economic Indicators in Water and Wastewater Sector Contributing to a Circular Economy (CE)

Marzena Smol, Renata Koneczna
2021 Resources  
An important aspect of future application and usage of the proposed set of CE economic indicators is the collection and processing of data needed for their reporting.  ...  This paper presents a set of indicators for assessing the economic progress of transformation towards the CE in this sector.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/resources10120129 fatcat:nspbcop6yjddlfti2jcu72oonu

Rare Earth Elements (La, Ce, Pr, Nd, and Sm) from a Carbonatite Deposit: Mineralogical Characterization and Geochemical Behavior

Mohamed Edahbi, Benoît Plante, Mostafa Benzaazoua, Lori Kormos, Mia Pelletier
2018 Minerals  
For example, the Mountain Pass mine produced approximately 3000 L/min of wastewater containing thorium and uranium, while Bayan Obo mine after 40 years has produced an 11 km 2 of tailings [32, 33] .  ...  With the exception of Ce(IV) and Eu(II), REE are in trivalent state (Ln 3+ ) [30, 31] . They tend to be fractionated by the other metallic elements M 3+ .  ...  Acknowledgments: The authors thank the URSTM, staff for their support with laboratory work and NSERC/Geomega Resources for funding of this study.  ... 
doi:10.3390/min8020055 fatcat:rg5ltffl5jayxlzwboortx4kzq


Ce Zhang, Christopher Ré
2014 Proceedings of the VLDB Endowment  
Our goal is to understand tradeoffs in accessing the data in row-or column-order and at what granularity one should share the model and data for a statistical task.  ...  We argue that our tradeoff study may provide valuable information for designers of analytics engines: for each system we consider, our prototype engine can run at least one popular task at least 100× faster  ...  Acknowledgments We would like to thank Arun Kumar, Victor Bittorf, the Delite team, the Advanced Analytics at Oracle, Greenplum/Pivotal, and Impala's Cloudera team for sharing their experiences in building  ... 
doi:10.14778/2732977.2733001 fatcat:7tqrkdn5rnbsvdvxpvb5tsujlu

A Survey on Spark Ecosystem for Big Data Processing [article]

Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li
2018 arXiv   pre-print
Finally, we make a discussion on the open issues and challenges for large-scale in-memory data processing with Spark.  ...  With the explosive increase of big data in industry and academic fields, it is necessary to apply large-scale data processing systems to analysis Big Data.  ...  In this big data era, the growing of streaming data motivates the fields of streaming data mining. There are typically two reasons behind the need of evolving from traditional data mining approach.  ... 
arXiv:1811.08834v1 fatcat:6fxvg6me7rayzm4suoabyg7fii

Content-enriched classifier for web video classification

Bin Cui, Ce Zhang, Gao Cong
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
The content-enriched semantic kernels enable to utilize both content and text features for classifying new videos without extracting their content features.  ...  In this paper we propose a novel video classification framework that is able to exploit both content and text features for video classification while avoiding the expensive computation of extracting content  ...  ACKNOWLEDGMENTS Figure 1 : 1 Existing frameworks for video classification Algorithm 1 : 1 Algorithm for building CES classifiers Input: Labeled training video data, and parameter k Result: Table 1  ... 
doi:10.1145/1835449.1835553 dblp:conf/sigir/CuiZC10 fatcat:ol573uak7fc37go5kfcjlgj6se

ISMAC: An Intelligent System for Customized Clinical Case Management and Analysis

Mingyu You, Chong Chen, Guo-Zheng Li, Shi-Xing Yan, Sheng Sun, Xue-Qiang Zeng, Qing-Ce Zhao, Liao-Yu Xu, Su-Ying Huang
2015 The Scientific World Journal  
Varying data analysis and mining methods, grouped as Basic Analysis, Association Rule, Feature Reduction, Cluster, Pattern Classification, and Pattern Prediction, are implemented in the system.  ...  The novel system ISMAC (Intelligent System for Management and Analysis of Clinical Cases in TCM) is designed and implemented for customized management and intelligent analysis of TCM clinical data.  ...  Acknowledgments This work was supported by the Natural Science Foundation of China under Grant nos. 61273305 and 81274007, as well as the Fundamental Research Funds for the Central Universities.  ... 
doi:10.1155/2015/473168 pmid:26495425 pmcid:PMC4606075 fatcat:4h6u2dko5va5zou3brkl6cqlee

Supervised Contrastive Learning [article]

Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2021 arXiv   pre-print
The loss shows benefits for robustness to natural corruptions and is more stable to hyperparameter settings such as optimizers and data augmentations.  ...  On ResNet-200, we achieve top-1 accuracy of 81.4% on the ImageNet dataset, which is 0.8% above the best number reported for this architecture.  ...  Fig. 1 in the Supplementary material provides a visual explanation. Representation Learning Framework The main components of our framework are: • Data Augmentation module, Aug(·).  ... 
arXiv:2004.11362v5 fatcat:o7nt62r4t5bn7a5h7smykfd2z4

A machine-compiled macroevolutionary history of Phanerozoic life [article]

Shanan E. Peters, Ce Zhang, Miron Livny, Christopher Ré
2014 arXiv   pre-print
We also show that the system can readily accommodate sophisticated data types, such as morphological data in biological illustrations and associated textual descriptions.  ...  Here, we develop and validate the quality of a machine reading system, PaleoDeepDive, that automatically locates and extracts data from heterogeneous text, tables, and figures in publications.  ...  Foote for constructive feedback and N.A. Heim and J.L. Payne for providing body size data. Work partially supported by NSF EarthCube award ACI-1343760 and NSF CAREER IIS-1353606.  ... 
arXiv:1406.2963v2 fatcat:uprik2cpb5dppfxbqfbj2f6e6a
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