Machine Learning

Authors and titles for November 2019

[1] arXiv:1911.00002 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Continual Multi-task Gaussian Processes Show Chinese title

Title: 连续多任务高斯过程

Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[2] arXiv:1911.00068 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Confident Learning: Estimating Uncertainty in Dataset Labels Show Chinese title

Title: Confident Learning: 估计数据集标签中的不确定性

Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

Comments: Published in Journal of Artificial Intelligence Research (JAIR)

Journal-ref: Journal of Artificial Intelligence Research (JAIR) (2021)

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[3] arXiv:1911.00184 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised) Show Chinese title

Title: 流数据的集成聚类与异常检测（INCAD）（修订版）

Sreelekha Guggilam, Syed M. A. Zaidi, Varun Chandola, Abani K. Patra

Comments: 13 pages; fixes typos in equations 5,6,9,10 on inference using Gibbs sampling

Journal-ref: ICCS 2019. Lecture Notes in Computer Science, vol 11539. Springer, Cham,

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[4] arXiv:1911.00190 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success Show Chinese title

Title: 随机化作为正则化：随机森林成功的自由度解释

Lucas Mentch, Siyu Zhou

Comments: To Appear in the Journal of Machine Learning Research (JMLR)

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[5] arXiv:1911.00218 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Statistical Model Aggregation via Parameter Matching Show Chinese title

Title: 统计模型聚合通过参数匹配

Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang

Comments: NeurIPS 2019

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[6] arXiv:1911.00294 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments Show Chinese title

Title: 一种统一的随机梯度方法用于设计贝叶斯最优实验

Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth

Comments: Published as a conference paper at AISTATS 2020

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Computation (stat.CO)

[7] arXiv:1911.00348 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Hierarchical Expert Networks for Meta-Learning Show Chinese title

Title: 元学习的分层专家网络

Heinke Hihn, Daniel A. Braun

Comments: Presented at the 4th ICML Workshop on Life Long Machine Learning, 2020

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[8] arXiv:1911.00658 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Global Adaptive Generative Adjustment Show Chinese title

Title: 全局自适应生成调整

Bin Wang, Xiaofei Wang, Jianhua Guo

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Signal Processing (eess.SP)

[9] arXiv:1911.00936 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Show Chinese title

Title: 增强变分自编码器用于协同过滤：灵活先验与门控机制

Daeryong Kim, Bongwon Suh

Journal-ref: In Thirteenth ACM Conference on Recommender Systems (RecSys '19), September 16-20, 2019, Copenhagen, Denmark. ACM, New York, NY, USA, 5 pages

Subjects: Machine Learning (stat.ML) ; Information Retrieval (cs.IR) ; Machine Learning (cs.LG)

[10] arXiv:1911.01010 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Seasonally-Adjusted Auto-Regression of Vector Time Series Show Chinese title

Title: 季节性调整向量时间序列的自回归模型

Enzo Busseti

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Optimization and Control (math.OC)

[11] arXiv:1911.01288 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Asymptotic Consistency of Loss-Calibrated Variational Bayes Show Chinese title

Title: 损失校准变分贝叶斯的渐近一致性

Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[12] arXiv:1911.01366 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Framework for Inferring Following Strategies from Time Series of Movement Data Show Chinese title

Title: 从运动数据时间序列中推断跟随策略的框架

Chainarong Amornbunchornvej, Tanya Berger-Wolf

Comments: This is the revised version of the preprint entitled "Inferring Coordination Strategies from Time Series of Movement Data" following reviewers' suggestions

Journal-ref: ACM Transactions on Knowledge Discovery from Data (TKDD), 14(3), 35 (2020)

Subjects: Machine Learning (stat.ML) ; Artificial Intelligence (cs.AI) ; Machine Learning (cs.LG) ; Multiagent Systems (cs.MA) ; Data Analysis, Statistics and Probability (physics.data-an)

[13] arXiv:1911.01373 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Gradient-based Adaptive Markov Chain Monte Carlo Show Chinese title

Title: 基于梯度的自适应马尔可夫链蒙特卡罗

Michalis K. Titsias, Petros Dellaportas

Comments: 17 pages, 7 Figures, NeurIPS 2019

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Computation (stat.CO)

[14] arXiv:1911.01382 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Amortized Population Gibbs Samplers with Neural Sufficient Statistics Show Chinese title

Title: 带有神经充分统计量的渐进种群吉布斯采样器

Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[15] arXiv:1911.01425 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Improved BiGAN training with marginal likelihood equalization Show Chinese title

Title: 通过边缘似然均衡改进BiGAN训练

Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Perez-Cruz

Subjects: Machine Learning (stat.ML) ; Computer Vision and Pattern Recognition (cs.CV) ; Machine Learning (cs.LG)

[16] arXiv:1911.01429 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: The frontier of simulation-based inference Show Chinese title

Title: 基于仿真的推断的前沿

Kyle Cranmer, Johann Brehmer, Gilles Louppe

Comments: 10 pages, 3 figures, proceedings for the Sackler Colloquia at the US National Academy of Sciences. v2: fixed typos. v3: clarified text, added references

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Methodology (stat.ME)

[17] arXiv:1911.01469 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry Show Chinese title

Title: 近端Langevin算法：在等周性下的快速收敛

Andre Wibisono

Subjects: Machine Learning (stat.ML) ; Data Structures and Algorithms (cs.DS) ; Information Theory (cs.IT) ; Machine Learning (cs.LG)

[18] arXiv:1911.01483 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: On Constructing Confidence Region for Model Parameters in Stochastic Gradient Descent via Batch Means Show Chinese title

Title: 通过批次均值构建随机梯度下降模型参数的置信区域

Yi Zhu, Jing Dong

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Statistics Theory (math.ST)

[19] arXiv:1911.01535 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Scalable Deep Generative Relational Models with High-Order Node Dependence Show Chinese title

Title: 具有高阶节点依赖的可扩展深度生成关系模型

Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[20] arXiv:1911.01929 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models Show Chinese title

Title: GP-ALPS：多输出高斯过程模型的自动潜在过程选择

Pavel Berkovich, Eric Perim, Wessel Bruinsma

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Methodology (stat.ME)

[21] arXiv:1911.02088 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: An Alternative Probabilistic Interpretation of the Huber Loss Show Chinese title

Title: Huber损失的另一种概率解释

Gregory P. Meyer

Subjects: Machine Learning (stat.ML) ; Computer Vision and Pattern Recognition (cs.CV) ; Machine Learning (cs.LG)

[22] arXiv:1911.02106 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Designing over uncertain outcomes with stochastic sampling Bayesian optimization Show Chinese title

Title: 具有随机采样贝叶斯优化的不确定结果设计

Peter D. Tonner, Daniel V. Samarov, A. Gilad Kusne

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[23] arXiv:1911.02151 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Show Chinese title

Title: 信息论的广义界限通过数据依赖估计用于SGLD

Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy

Comments: 23 pages, 1 figure. To appear in, Advances in Neural Information Processing Systems (33), 2019

Subjects: Machine Learning (stat.ML) ; Information Theory (cs.IT) ; Machine Learning (cs.LG)

[24] arXiv:1911.02175 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems Show Chinese title

Title: 将马尔可夫过程与结构因果建模相结合，可在复杂系统中进行反事实推断

Robert Osazuwa Ness, Kaushal Paneri, Olga Vitek

Comments: Accepted to Thirty-third Conference on Neural Information Processing Systems (2019)

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Molecular Networks (q-bio.MN) ; Applications (stat.AP)

[25] arXiv:1911.02656 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Invariance and identifiability issues for word embeddings Show Chinese title

Title: 词嵌入的不变性和可识别性问题

Rachel Carrington, Karthik Bharath, Simon Preston

Comments: NIPS 2019

Subjects: Machine Learning (stat.ML) ; Computation and Language (cs.CL) ; Machine Learning (cs.LG) ; Computation (stat.CO)

[26] arXiv:1911.02728 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets Show Chinese title

Title: 使用自编码器分析大规模脑成像数据集的脑网络

Meimei Liu, Zhengwu Zhang, David B. Dunson

Comments: 31 pages, 12 figures, 5 tables

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Neurons and Cognition (q-bio.NC)

[27] arXiv:1911.02768 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Confidence Intervals for Policy Evaluation in Adaptive Experiments Show Chinese title

Title: 自适应实验中策略评估的置信区间

Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Methodology (stat.ME)

[28] arXiv:1911.02991 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers Show Chinese title

Title: 基于高斯随机场的半监督方法在网页浏览器中去除模板

Joy Bose, Sumanta Mukherjee

Comments: 4 pages, 1 figure, IEEE INDICON conference

Subjects: Machine Learning (stat.ML) ; Information Retrieval (cs.IR) ; Machine Learning (cs.LG)

[29] arXiv:1911.03063 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Is a Classification Procedure Good Enough? A Goodness-of-Fit Assessment Tool for Classification Learning Show Chinese title

Title: 分类过程足够好吗？ 分类学习的拟合度评估工具

Jiawei Zhang, Jie Ding, Yuhong Yang

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[30] arXiv:1911.03117 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Ground Metric Learning on Graphs Show Chinese title

Title: 图上的地面度量学习

Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré

Comments: Fixed sign of gradient

Journal-ref: Journal of Mathematical Imaging and Vision (2020): 1-19

Subjects: Machine Learning (stat.ML) ; Graphics (cs.GR) ; Machine Learning (cs.LG) ; Optimization and Control (math.OC)

[31] arXiv:1911.03224 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization Show Chinese title

Title: 评估前沿：主动学习、模型准确性与多目标材料发现和优化

Zachary del Rosario, Matthias Rupp, Yoolhee Kim, Erin Antono, Julia Ling

Comments: 17 pages, 10 figures

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Methodology (stat.ME)

[32] arXiv:1911.03274 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Imperceptible Adversarial Attacks on Tabular Data Show Chinese title

Title: 表格数据上的不可察觉对抗攻击

Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki

Comments: presented at NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy (Robust AI in FS 2019), Vancouver, Canada

Subjects: Machine Learning (stat.ML) ; Cryptography and Security (cs.CR) ; Machine Learning (cs.LG)

[33] arXiv:1911.03299 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Subspace Clustering with Active Learning Show Chinese title

Title: 子空间聚类与主动学习

Hankui Peng, Nicos G. Pavlidis

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[34] arXiv:1911.03318 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings Show Chinese title

Title: 深度迁移学习在智能建筑热力学建模中的应用

Zhanhong Jiang, Young M. Lee

Comments: 5 pages, 2 figures; Accepted at 2019 IEEE International Conference on Big Data (IEEE BigData 2019)

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Systems and Control (eess.SY)

[35] arXiv:1911.03393 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Show Chinese title

Title: 变分专家混合自编码器用于多模态深度生成模型

Yuge Shi, N. Siddharth, Brooks Paige, Philip H.S. Torr

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[36] arXiv:1911.03405 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Theoretical Guarantees for Model Auditing with Finite Adversaries Show Chinese title

Title: 模型审计的理论保证与有限对手

Mario Diaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar

Comments: 18 pages, 1 figure

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[37] arXiv:1911.03548 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Variance Reduced Stochastic Proximal Algorithm for AUC Maximization Show Chinese title

Title: 方差减少的随机近似算法用于AUC最大化

Soham Dan, Dushyant Sahoo

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[38] arXiv:1911.03577 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Degrees of freedom for off-the-grid sparse estimation Show Chinese title

Title: 网格外稀疏估计的自由度

Clarice Poon, Gabriel Peyré

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Statistics Theory (math.ST)

[39] arXiv:1911.03671 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Bayesian Active Learning for Structured Output Design Show Chinese title

Title: 基于结构化输出设计的贝叶斯主动学习

Kota Matsui, Shunya Kusakawa, Keisuke Ando, Kentaro Kutsukake, Toru Ujihara, Ichiro Takeuchi

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[40] arXiv:1911.03722 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Information Bottleneck Theory on Convolutional Neural Networks Show Chinese title

Title: 卷积神经网络的信息瓶颈理论

Junjie Li, Ding Liu

Comments: 7 pages,28 figures

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[41] arXiv:1911.03804 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Show Chinese title

Title: ISLET：通过重要性抽样进行快速且最优的低秩张量回归

Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Numerical Analysis (math.NA) ; Statistics Theory (math.ST) ; Methodology (stat.ME)

[42] arXiv:1911.03959 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Multi-Armed Bandits with Correlated Arms Show Chinese title

Title: 带有相关臂的多臂老虎机

Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yağan

Comments: A special case of the model studied in this paper is presented in arXiv:1808.05904

Journal-ref: IEEE Transactions on Information Theory, 2021

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[43] arXiv:1911.04048 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Multidataset Independent Subspace Analysis with Application to Multimodal Fusion Show Chinese title

Title: 多数据集独立分量分析及其在多模态融合中的应用

Rogers F. Silva (1 and 2), Sergey M. Plis (1 and 2), Tulay Adali (3), Marios S. Pattichis (4), Vince D. Calhoun (1 and 2) ((1) Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA, (2) The Mind Research Network, Albuquerque, NM, USA, (3) Dept. of CSEE, University of Maryland Baltimore County, Baltimore, Maryland, USA, (4) Dept. of ECE at The University of New Mexico, Albuquerque, NM, USA)

Comments: For associated code, see https://github.com/rsilva8/MISA For associated data, see https://github.com/rsilva8/MISA-data Submitted to IEEE Transactions on Image Processing on Nov/7/2019: 13 pages, 8 figures Supplement: 16 pages, 5 figures

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Image and Video Processing (eess.IV) ; Signal Processing (eess.SP) ; Applications (stat.AP)

[44] arXiv:1911.04062 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: LMLFM: Longitudinal Multi-Level Factorization Machine Show Chinese title

Title: LMLFM：纵向多级因子分解机

Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant Honavar

Comments: Thirty-Fourth AAAI Conference on Artificial Intelligence, accepted

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Applications (stat.AP) ; Methodology (stat.ME)

[45] arXiv:1911.04174 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Gradient Boosts the Approximate Vanishing Ideal Show Chinese title

Title: 梯度提升近似消去理想

Hiroshi Kera, Yoshihiko Hasegawa

Comments: 9+10 pages, 1+4 figures, AAAI'20

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[46] arXiv:1911.04285 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: MAP Clustering under the Gaussian Mixture Model via Mixed Integer Nonlinear Optimization Show Chinese title

Title: 基于混合整数非线性优化的高斯混合模型下的MAP聚类

Patrick Flaherty, Pitchaya Wiratchotisatian, Ji Ah Lee, Zhou Tang, Andrew C. Trapp

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Optimization and Control (math.OC) ; Methodology (stat.ME)

[47] arXiv:1911.04322 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness Show Chinese title

Title: 核依赖正则化器与高斯过程及其在算法公平性中的应用

Zhu Li, Adrian Perez-Suay, Gustau Camps-Valls, Dino Sejdinovic

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[48] arXiv:1911.04351 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Stronger Convergence Results for Deep Residual Networks: Network Width Scales Linearly with Training Data Size Show Chinese title

Title: 深度残差网络的更强收敛结果：网络宽度与训练数据量成线性比例

Talha Cihad Gulcu

Comments: 33 pages

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[49] arXiv:1911.04386 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Fault Detection and Identification using Bayesian Recurrent Neural Networks Show Chinese title

Title: 基于贝叶斯循环神经网络的故障检测与识别

Weike Sun, Antonio R. C. Paiva, Peng Xu, Anantha Sundaram, Richard D. Braatz

Comments: 43 pages, 23 figures. Accepted for publication in Computers & Chemical Engineering

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Systems and Control (eess.SY)

[50] arXiv:1911.04616 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Item Response Theory based Ensemble in Machine Learning Show Chinese title

Title: 基于项目反应理论的机器学习集成

Ziheng Chen, Hongshik Ahn

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Applications (stat.AP) ; Computation (stat.CO) ; Other Statistics (stat.OT)