1. High-dimensional model recovery from random sketched data by exploring intrinsic sparsity

   • Tianbao Yang
   • Lijun Zhang
   • Rong Jin

   OriginalPaper 07 January 2020 Pages: 899 - 938

   

2. Model-based kernel sum rule: kernel Bayesian inference with probabilistic models

   • Yu Nishiyama
   • Motonobu Kanagawa
   • Kenji Fukumizu

   OriginalPaper Open access 02 January 2020 Pages: 939 - 972

   

3. Sparse hierarchical regression with polynomials

   • Dimitris Bertsimas
   • Bart Van Parys

   OriginalPaper 24 January 2020 Pages: 973 - 997

   

4. Improved graph-based SFA: information preservation complements the slowness principle

   • Alberto N. Escalante-B.
   • Laurenz Wiskott

   OriginalPaper Open access 26 December 2019 Pages: 999 - 1037

   

5. Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier

   • Dan Halbersberg
   • Maydan Wienreb
   • Boaz Lerner

   OriginalPaper 28 February 2020 Pages: 1039 - 1099

   

6. Editorial: Machine learning for safety–critical applications in engineering

   • Mariam Kiran
   • Samir Khan

   News 06 May 2020 Pages: 1101 - 1102

7. Engineering problems in machine learning systems

   • Hiroshi Kuwajima
   • Hirotoshi Yasuoka
   • Toshihiro Nakae

   OriginalPaper Open access 23 April 2020 Pages: 1103 - 1126

   

8. Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP

   • Mariam Kiran
   • Cong Wang
   • Ewa Deelman

   OriginalPaper 12 March 2020 Pages: 1127 - 1143