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Balanced seed selection for budgeted influence maximization in social networks
所属机构名称:中国科学院计算技术研究所
会议名称:18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014
时间:2014.5.13
成果类型:会议
相关项目:基于生成模型的迁移学习算法研究及其应用
同会议论文项目
基于生成模型的迁移学习算法研究及其应用
期刊论文 20
会议论文 22
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Supervised Representation Learning: Transfer Learning with Deep Autoencoders
Multi-Task Semi-Supervised Semantic Feature Learning for Classification
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Extreme Learning Machine Combining Matrix Factorization for Collaborative Filtering
Concept Learning for CrossDomain Text Classification A General Probabilistic Framework
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews
Shared structure learning for multiple tasks with multiple views
A new similarity measure based on preference sequences for collaborative filtering
Fast time series classification based on infrequent shapelets
Scalable bootstrap clustering for massive data
Nonparametric bayesian multi-task large-margin classification
Concept learning for cross-domain text classification: A general probabilistic framework
Triplex transfer learning: Exploiting both shared and distinct concepts for text classification
评论信息的方面预测和打分
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks
Heterogeneous Multi-task Semantic Feature Learning for Classification
Representation Learning via Semi-supervised Autoencoder for Multi-task Learning
Parallel Feature Selection Using Positive Approximation based on MapReduce