A novel method for Ensemble Pruning via BackTracking algorithm (EnPBT) was proposed by us in our previous work. Backtracking algorithm can systematically search for the solutions of a problem in a depth-first and jumping manner, suitable for solving all those large-scale combinatorial problems. ...
Abstract: With the increment of the number of Gaussian components, the computation cost increases in the Gaussian mixture probability hypothesis density (GM-PHD) filter. Based on the theory of Chen et al, we propose an improved pruning algorithm for the GM-PHD filter, which utilizes not only t...
Rifai S, Vincent P, Muller X, Glorot X, Bengio Y (2011) Contractive auto-en- coders: explicit invariance during feature extraction. In: Proceedings of the 28th international conference on machine learning (ICML-11), pp 833–840 Sabo D, Yu XH (2008) A new pruning algorithm for neural net...
Endisch,Stolze,Endisch,Hackl,Kennel 摘要: This paper presents a pruning algorithm using adaptive pruning interval for system identification with general dynamic neural networks (GDNN). GDNNs are artificial neural networks with internal dynamics. All layers have feedback connections with time delays to...
How to define the architecture of classifiers dynamically is one of the major research topics in online learning. This paper presents a new online learning algorithm for Radial Basis Function Network named Sensitivity Based Neurons Growing and Pruning Method for RBF network (SBGAP). The performance ...
Source: Wikipedia, Decision tree, Available from https://en.wikipedia.org/wiki/Decision_tree, 1975. Decision tree model can be considered as a set of “if-then” rules; it can also be considered as conditional probability distribution defined in the feature space and the class space. Decision...
A novel method for Ensemble Pruning via BackTracking algorithm (EnPBT... Dai,Qun - Knowledge-Based Systems 被引量: 10发表: 2013年 Knowledge-Based Systems An efficient ensemble pruning algorithm using One-Path and Two-Trips searching approach Ensemble pruning is substantial for the successful ...
@article{cheng2023survey, title={A Survey on Deep Neural Network Pruning:Taxonomy, Comparison, Analysis, and Recommendations}, author={Hongrong Cheng and Miao Zhang and Javen Qinfeng Shi}, journal={arXiv preprint arXiv:2308.06767}, year={2023} }About...
This can be considered as the counterpart of Regin's algorithm for the all different constraint where one enforces having at least n distinct values for a given set of n variables. 展开 会议名称: Proceedings of the 7th International Conference on Principles and Practice of Constraint Programming ...
To solve the problem that the existing neural network pruning methods do not fully evaluate the importance of filters and there are some differences in the importance of cross-layer filters, a global filter pruning algorithm based on multi-source information is proposed, which establishes the connect...