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Publication search results
found 21 matches
- 2023
- Jian Wu, Li Wang, Weihua Yang, Haixia Zhao, Rui Wang, Jianji Cao, Fuhong Wei:
Learning to solve graph metric dimension problem based on graph contrastive learning. Appl. Intell. 53(24): 30300-30318 (2023) - Davide Carneiro, Miguel Guimarães, Mariana Carvalho, Paulo Novais:
Using meta-learning to predict performance metrics in machine learning problems. Expert Syst. J. Knowl. Eng. 40(1) (2023) - 2022
- Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang:
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23(12): 23231-23243 (2022) - Igor Puleko, Oleksandra Svintsytska, Victor Chumakevych, Vadym Ptashnyk, Yuliia Polishchuk:
The Scalar Metric of Classification Algorithm Choice in Machine Learning Problems Based on the Scheme of Nonlinear Compromises. COLINS 2022: 1066-1075 - Gensheng Hu, Xin Tang, Weihui Zeng, Dong Liang, Xiaowei Yang:
Identification Method for Rice Pests with Small Sample Size Problems Combining Deep Learning and Metric Learning. PRCV (4) 2022: 52-65 - 2020
- Ibrahim Omara, Guangzhi Ma, Enmin Song:
LDM-DAGSVM: Learning Distance Metric via DAG Support Vector Machine for Ear Recognition Problem. IJCB 2020: 1-9 - Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao:
Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. ICDM 2020: 1100-1105 - Bassel Ali, Koichi Moriyama, Masayuki Numao, Ken-ichi Fukui:
Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional Problems. ICMLA 2020: 226-233 - 2017
- Zhou Fang, Christopher John Crick:
An Improvement for the Stability of Large-Margin Metric Learning for Partial Labelling Partitioning Problems. ICMLC 2017: 398-404 - 2014
- Rémi Lajugie, Francis R. Bach, Sylvain Arlot:
Large-Margin Metric Learning for Constrained Partitioning Problems. ICML 2014: 297-305 - 2013
- Daniil Ryabko, Jérémie Mary:
A binary-classification-based metric between time-series distributions and its use in statistical and learning problems. J. Mach. Learn. Res. 14(1): 2837-2856 (2013) - Rémi Lajugie, Sylvain Arlot, Francis R. Bach:
Large-Margin Metric Learning for Partitioning Problems. CoRR abs/1303.1280 (2013) - 2011
- Georg Hinselmann, Lars Rosenbaum, Andreas Jahn, Nikolas Fechner, Claude Ostermann, Andreas Zell:
Large-Scale Learning of Structure-Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics. J. Chem. Inf. Model. 51(2): 203-213 (2011) - 2009
- Yangjing Long:
Human Age Estimation by Metric Learning for Regression Problems. CGIV 2009: 343-348 - Leting Pan:
Human Age Estimation by Metric Learning for Regression Problems. EMMCVPR 2009: 455-465 - Bo Xiao, Xiaokang Yang, Hongyuan Zha, Yi Xu, Thomas S. Huang:
Metric Learning for Regression Problems and Human Age Estimation. PCM 2009: 88-99 - (Withdrawn) Human Age Estimation by Metric Learning for Regression Problems. CAIP 2009: 74-82
- 2008
- Verena Heidrich-Meisner, Christian Igel:
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem. EWRL 2008: 136-150 - Jason V. Davis, Inderjit S. Dhillon:
Structured metric learning for high dimensional problems. KDD 2008: 195-203 - 2000
- Avrim Blum, Carl Burch:
On-line Learning and the Metrical Task System Problem. Mach. Learn. 39(1): 35-58 (2000) - 1997
- Avrim Blum, Carl Burch:
On-line Learning and the Metrical Task System Problem. COLT 1997: 45-53
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