IEEE TNNLS

Transductive Ordinal Regression

Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 23(7):1074 - 1086, 2012

On Recursive Edit Distance Kernels with Application to Time Series Classification

Pierre-François Marteau, Sylvie Gibet

Comments 14 pages

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2014) 1-14

Deep Recurrent Neural Networks for Time Series Prediction

Sharat C. Prasad, Piyush Prasad

Comments Preliminary, submitted to IEEE TNNLS

A Weighted Common Subgraph Matching Algorithm

Xu Yang, Hong Qiao, Zhi-Yong Liu

Comments 6 pages, 5 figures, the second round revision in IEEE TNNLS

Pareto-Path Multi-Task Multiple Kernel Learning

Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds

N. Denizcan Vanli, Suleyman S. Kozat

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

What are the Differences between Bayesian Classifiers and Mutual-Information Classifiers?

Bao-Gang Hu

Comments (2nd version: 19 pages, 5 figures, 7 tables. Theorems on Bayesian classifiers are extended to multiple variables. Appendix B for "Tighter bounds between the conditional entropy and Bayesian error in binary classifications" are added, in which Fano's bound is shown numerically to be very tight)

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 25(2): 249-264, 2014

A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems

Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Comments 17 pages, 1 figure. Accepted by IEEE Transactions on Neural Networks and Learning Systems; currently published as Early Access Article

Multi-Task Classification Hypothesis Space with Improved Generalization Bounds

Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Comments 18 pages, 4 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems

Memory models of adaptive behaviour

Fabio Lorenzo Traversa, Yuriy V. Pershin, Massimiliano Di Ventra

Journal ref IEEE Transactions on Neural Networks and Learning Systems, vol. 24, is. 9, pg. 1437 - 1448, year 2013

High Level Pattern Classification via Tourist Walks in Networks

Thiago Christiano Silva, Liang Zhao

Comments Submitted to the IEEE Transactions on Neural Networks and Learning Systems

A Non-Binary Associative Memory with Exponential Pattern Retrieval Capacity and Iterative Learning: Extended Results

Amir Hesam Salavati, K. Raj Kumar, Amin Shokrollahi

Comments submitted to IEEE Transactions on Neural Networks and Learning Systems