Statistics
9463 papers in Statistics
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TITLE
DATE
VIEWS
Visualisation of Brain Statistics with R-packages ggseg and ggseg3d
By Athanasia M. Mowinckel, Didac Vidal-Pi~neiro · ArXiv: 1912.08200
2019-12-19
1
SpaRCe: Improved Learning of Reservoir Computing Systems through Sparse Representations
By Luca Manneschi, Andrew C. Lin, Eleni Vasilaki · ArXiv: 1912.08124
2021-08-19
0
How Personal is Machine Learning Personalization?
By Travis Greene, Galit Shmueli · ArXiv: 1912.07938
2019-12-25
1
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams
By Alex, er L. Hayes, Mayukh Das · ArXiv: 1912.07650
2019-12-18
0
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level
By Paul Bertens, Seong-Whan Lee · ArXiv: 1912.07589
2019-12-17
0
More Data Can Hurt for Linear Regression: Sample-wise Double Descent
By Preetum Nakkiran · ArXiv: 1912.07242
2019-12-17
0
Parallel Restarted SPIDER -- Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
By Pranay Sharma, Swatantra Kafle, Prashant Kh · ArXiv: 1912.06036
2020-11-09
0
Efficient crowdsourcing of crowd-generated microtasks
By Abigail Hotaling, James P. Bagrow · ArXiv: 1912.05045
2020-12-23
0
Neural Memory Networks for Seizure Type Classification
By David Ahmedt-Aristizabal, Tharindu Fern, o · ArXiv: 1912.04968
2024-03-06
0
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
By Samuel Kim, Peter Y. Lu, Srijon Mukherjee · ArXiv: 1912.04825
2022-03-10
0
Backprop Diffusion is Biologically Plausible
By Aless, ro Betti, Marco Gori · ArXiv: 1912.04635
2020-06-19
0
Gradient Profile Estimation Using Exponential Cubic Spline Smoothing in a Bayesian Framework
By Kushani De Silva, Carlo Cafaro, Adom Giffin · ArXiv: 1912.04223
2021-05-31
0
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
By Ankit Sharma, Garima Gupta, Ranjitha Prasad · ArXiv: 1912.03960
2021-02-18
0
The Probabilistic Backbone of Data-Driven Complex Networks: An example in Climate
By Catharina Graafl, Jose M. Gutierrez, Juan M. Lopez · ArXiv: 1912.03758
2020-11-03
0
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
By Jiachen Yang, Igor Borovikov, Hongyuan Zha · ArXiv: 1912.03558
2020-05-11
0
Geometric Capsule Autoencoders for 3D Point Clouds
By Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov · ArXiv: 1912.03310
2019-12-10
0
A pedestrian path-planning model in accordance with obstacles danger with reinforcement learning
By Thanh-Trung Trinh, Dinh-Minh Vu, Masaomi Kimura · ArXiv: 1912.02945
2020-04-24
0
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
By Daniel Rika, Dror Sholomon, Eli David · ArXiv: 1912.02707
2019-12-06
0
Machine Learning on sWeighted Data
By Maxim Borisyak, Nikita Kazeev · ArXiv: 1912.02590
2020-08-26
0
Data-Driven Optimization of Public Transit Schedule
By Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta · ArXiv: 1912.02574
2019-12-06
0
Deep Double Descent: Where Bigger Models and More Data Hurt
By Preetum Nakkiran, Gal Kaplun, Yamini Bansal · ArXiv: 1912.02292
2019-12-06
0
Scalable Bayesian Preference Learning for Crowds
By Edwin Simpson, Iryna Gurevych · ArXiv: 1912.01987
2019-12-13
0
End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware
By Ishai Rosenberg, Guillaume Sicard, Eli David · ArXiv: 1912.01493
2019-12-04
0
Mixing autoencoder with classifier: conceptual data visualization
By Pitoyo Hartono · ArXiv: 1912.01137
2020-06-16
0
Addict Free -- A Smart and Connected Relapse Intervention Mobile App
By Zhou Yang, Vinay Jayach, ra Reddy · ArXiv: 1912.01130
2019-12-04
0
Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling
By Jeremy Gordon, David Rawlinson, Subutai Ahmad · ArXiv: 1912.01116
2019-12-04
0
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
By E. Kharazmi, Z. Zhang, G. E. Karniadakis · ArXiv: 1912.00873
2019-12-03
0
Algebraic Analysis of Rotation Data
By Michael F. Adamer, Andras C. LH{o}rincz, Anna-Laura Sattelberger · ArXiv: 1912.00396
2020-12-30
0
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
By Yue Zhao, Maciej K. Hryniewicki · ArXiv: 1912.00290
2020-09-22
0