[图书][B] Meta-learning in computational intelligence

N Jankowski, W Duch, K Grąbczewski - 2011 - Springer
In the early days of pattern recognition and statistical data analysis life was rather simple:
datasets were relatively small, collected from well-designed experiments, analyzed using a few …

Parallel and distributed finite constraint satisfaction: Complexity, algorithms and experiments

Y Zhang, AK Mackworth - Machine Intelligence and Pattern Recognition, 1994 - Elsevier
… the parallel complexity of finite constraint satisfaction problems (FCSPs) by developing
three algorithms for deriving minimal constraint networks in parallel. The first is a parallel

A GPU-based parallel genetic algorithm for generating daily activity plans

K Wang, Z Shen - IEEE Transactions on Intelligent …, 2012 - ieeexplore.ieee.org
… Moreover, the success of the Artificial societies-Computational experiments-Parallel
execution (ACP) approach indicates that integrating other metropolitan systems such as logistic, …

Parallel metaheuristics: recent advances and new trends

E Alba, G Luque, S Nesmachnow - International Transactions in …, 2013 - Wiley Online Library
… After having selected a problem or a group of instances, we must design the computational
experiments. Generally, the design starts by analyzing the effects of several factors on the …

Parallel swarm intelligence for VANETs optimization

J Toutouh, E Alba - … conference on P2P, parallel, grid, cloud and …, 2012 - ieeexplore.ieee.org
… The normalized standard deviation obtained during the simulation experiments confirms
the need of applying our parallel validation approach (see Table VI). The nondeterministic …

The ParallelEye dataset: A large collection of virtual images for traffic vision research

X Li, K Wang, Y Tian, L Yan, F Deng… - … on Intelligent …, 2018 - ieeexplore.ieee.org
… The parallel vision approach is composed of three stages: artificial scenes,
computational experiments, and parallel execution. The first stage of parallel vision is to construct …

MapReduce based parallel neural networks in enabling large scale machine learning

Y Liu, J Yang, Y Huang, L Xu, S Li… - Computational …, 2015 - Wiley Online Library
… by mappers in parallel. Each mapper still … parallel BPNNs using the MapReduce model.
Section 4 evaluates the performance of the parallel BPNNs and analyzes the experimental

Scalability of enhanced parallel batch pattern BP training algorithm on general-purpose supercomputers

V Turchenko, L Grandinetti - … Computing and Artificial Intelligence: 7th …, 2010 - Springer
… 3 Experimental Results Our experiments were carried out on two general-purpose … For
the experimental research we have used the following scenarios of increasing MLP …

A personalized learning system for parallel intelligent education

Y Tang, J Liang, R Hare… - … on Computational Social …, 2020 - ieeexplore.ieee.org
Technological advancement has given education a new definition-parallel intelligent
education-resulting in fundamentally new ways of teaching and learning. This article exemplifies an …

Cognitive computational neuroscience

N Kriegeskorte, PK Douglas - Nature neuroscience, 2018 - nature.com
… that begin with experimental data and attempt to … computational functions 27,28 . In cognitive
science, they defined a new paradigm for understanding cognitive functions, called parallel