Self-admitted technical debt detection by learning its comprehensive semantics via graph neural networks | 0 | 0.34 | 2022 |
Awareness and Cooperation in Neural Network Ensemble Learning | 0 | 0.34 | 2019 |
Combining Two Negatively Correlated Learning Signals in a Committee Machine | 0 | 0.34 | 2018 |
Negative Correlation Learning with Multiple Target Values | 0 | 0.34 | 2018 |
Learning Targets for Building Cooperation Awareness in Ensemble Learning | 0 | 0.34 | 2018 |
Build Correlation Awareness In Negative Correlation Learning | 0 | 0.34 | 2017 |
Random Separation Learning For Neural Network Ensembles | 0 | 0.34 | 2017 |
Computational awareness for learning neural network ensembles | 1 | 0.41 | 2017 |
Hybrid Negative Correlation Learning With Randomly Splitting Data | 0 | 0.34 | 2017 |
Low-Cost and Steady On-Line Retraining of MLP with Guide Data. | 0 | 0.34 | 2017 |
Dbm Vs Elm: A Study On Effective Training Of Compact Mlp | 0 | 0.34 | 2016 |
Guide Data Generation For On-Line Learning Of Dbm-Initialized Mlp | 0 | 0.34 | 2016 |
Learning self-awareness in committee machines | 0 | 0.34 | 2016 |
Enforcing Negativity In Negative Correlation Learning | 0 | 0.34 | 2016 |
Bounded Learning For Neural Network Ensembles | 1 | 0.41 | 2015 |
Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection. | 4 | 0.63 | 2015 |
Strategies for determining effective step size of the backpropagation algorithm for on-line learning | 0 | 0.34 | 2015 |
A modified cuckoo search algorithm for flow shop scheduling problem with blocking | 0 | 0.34 | 2015 |
Negative Correlation Learning with Difference Learning. | 0 | 0.34 | 2015 |
Error awareness by lower and upper bounds in ensemble learning | 2 | 0.46 | 2015 |
Ensemble Learning with Correlation-Based Penalty | 0 | 0.34 | 2014 |
From low negative correlation learning to high negative correlation learning | 1 | 0.41 | 2014 |
Improving performance of decision boundary making with support vector machine based outlier detection | 0 | 0.34 | 2014 |
A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution | 0 | 0.34 | 2014 |
Study on the effect of learning parameters on decision boundary making algorithm | 1 | 0.39 | 2014 |
Control of correlation in negative correlation learning | 0 | 0.34 | 2014 |
New discoveries in balanced ensemble learning | 0 | 0.34 | 2012 |
Balancing Ensemble Learning between Known and Unknown Data | 0 | 0.34 | 2012 |
Enhancing particle swarm optimization using generalized opposition-based learning | 109 | 2.65 | 2011 |
Measurements In Fast Evolutionary Programming | 0 | 0.34 | 2010 |
Are Long Jumps Of Cauchy Mutations Effective In Fast Evolutionary Programming? | 0 | 0.34 | 2010 |
A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy | 0 | 0.34 | 2009 |
Balanced Learning for Ensembles with Small Neural Networks | 5 | 0.67 | 2009 |
Space transformation search: a new evolutionary technique | 35 | 1.43 | 2009 |
A Balanced Ensemble Learning with Adaptive Error Functions | 8 | 0.99 | 2008 |
Particle Swarm Optimization with a Novel Multi-Parent Crossover Operator | 7 | 0.48 | 2008 |
An improved Particle Swarm Optimization with adaptive jumps | 7 | 0.55 | 2008 |
Correlation between Mutations and Self-adaptation in Evolutionary Programming | 1 | 0.36 | 2008 |
Reduction Of Difference Among Trained Neural Networks By Re-Learning | 0 | 0.34 | 2008 |
Fast multi-swarm optimization with cauchy mutation and crossover operation | 6 | 0.52 | 2007 |
Evolvable Systems: From Biology to Hardware, 7th International Conference, ICES 2007, Wuhan, China, September 21-23, 2007, Proceedings | 41 | 2.99 | 2007 |
A Hybrid Particle Swarm Algorithm with Cauchy Mutation | 41 | 2.16 | 2007 |
A fast particle swarm optimization algorithm with cauchy mutation and natural selection strategy | 22 | 1.18 | 2007 |
Advances in Computation and Intelligence, Second International Symposium, ISICA 2007, Wuhan, China, September 21-23, 2007, Proceedings | 68 | 6.63 | 2007 |
Operator adaptation in evolutionary programming | 3 | 0.45 | 2007 |
Evolving Neural Network Ensembles by Fitness Sharing | 2 | 0.38 | 2006 |
Create Stable Neural Networks By Cross-Validation | 8 | 0.71 | 2006 |
How to stop the evolutionary process in evolving neural network ensembles | 2 | 0.38 | 2006 |
Make fast evolutionary programming robust by search step control | 0 | 0.34 | 2006 |
Current developments and future directions of bio-inspired computation and implications for ecoinformatics | 5 | 0.46 | 2006 |