Multi-task gradient descent for multi-task learning

Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm

(2020) Xixian Zhang et al.   Memetic Computing

Multifactorial evolutionary algorithm for solving clustered tree problems: competition among Cayley codes

(2020) Thanh Pham Dinh et al.   Memetic Computing

Deep memetic models for combinatorial optimization problems: application to the tool switching problem

(2019) Jhon Edgar Amaya et al.   Memetic Computing

Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II

(2019) Kavitesh Kumar Bali et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Contextual Correlation Preserving Multiview Featured Graph Clustering

(2019) Tiantian He et al.   IEEE Transactions on Cybernetics

Multi-Label Learning with Global and Local Label Correlation

(2018) Yue Zhu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition

(2018) Xuesong Zhang et al.   IEEE Transactions on Cybernetics

Joint Feature Selection and Classification for Multilabel Learning

(2018) Jun Huang et al.   IEEE Transactions on Cybernetics

Multifactorial Evolution: Toward Evolutionary Multitasking

(2016) Abhishek Gupta et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification

(2016) Jun Huang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Lift: Multi-Label Learning with Label-Specific Features

(2015) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems

(2015) Liang Feng et al.   Memetic Computing

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Multilabel relationship learning

(2013) Yu Zhang et al.   ACM Transactions on Knowledge Discovery from Data

Classifier chains for multi-label classification

(2011) Jesse Read et al.   MACHINE LEARNING

Random k-Labelsets for Multilabel Classification

(2010) Grigorios Tsoumakas et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Multilabel classification via calibrated label ranking

(2008) Johannes Fürnkranz et al.   MACHINE LEARNING