Confidence-based ant random walks
暂无分享,去创建一个
[1] David J. Hand,et al. Pattern Detection and Discovery , 2002, Pattern Detection and Discovery.
[2] Shigeyoshi Tsutsui,et al. Ant Colony Optimisation for Continuous Domains with Aggregation Pheromones Metaphor , 2004 .
[3] Hamid R. Rabiee,et al. Supervised neighborhood graph construction for semi-supervised classification , 2012, Pattern Recognit..
[4] Ashish Ghosh,et al. Aggregation pheromone density based data clustering , 2008, Inf. Sci..
[5] Bart Baesens,et al. Editorial survey: swarm intelligence for data mining , 2010, Machine Learning.
[6] Marco Saerens,et al. Semi-supervised classification and betweenness computation on large, sparse, directed graphs , 2011, Pattern Recognit..
[7] Jane You,et al. Semi-supervised classification based on random subspace dimensionality reduction , 2012, Pattern Recognit..
[8] L. Asz. Random Walks on Graphs: a Survey , 2022 .
[9] Hiroshi Mamitsuka,et al. Efficient semi-supervised learning on locally informative multiple graphs , 2012, Pattern Recognit..
[10] Marco Dorigo. Ant colony optimization , 2004, Scholarpedia.
[11] Guozheng Li,et al. Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion , 2012, Evidence-based complementary and alternative medicine : eCAM.
[12] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.
[13] Ashish Ghosh,et al. Aggregation pheromone metaphor for semi-supervised classification , 2013, Pattern Recognit..
[14] Alex Alves Freitas,et al. Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery , 2013, Appl. Soft Comput..
[15] Claudio Gentile,et al. Random Spanning Trees and the Prediction of Weighted Graphs , 2010, ICML.
[16] Ping He,et al. Protein localization prediction using random walks on graphs , 2013, BMC Bioinformatics.
[17] David G. Stork,et al. Pattern classification, 2nd Edition , 2000 .
[18] Ping He,et al. Component Random Walk , 2012, ICIC.
[19] Zoubin Ghahramani,et al. Learning from labeled and unlabeled data with label propagation , 2002 .