位置：成果数据库 > 会议 > 会议详情页
Nonparametric Bayesian Multi-Task Large-margin Classification, 21st European Conference on Artificia
  • 所属机构名称：中国科学院计算技术研究所
  • 会议名称：21st European Conference on Artificial intelligence, Prague, Czech, 18-22 Aug. 2014.
  • 时间：2014.8.18
  • 成果类型：会议
  • 相关项目：领域适应性问题相关学习算法与理论研究
同会议论文项目
领域适应性问题相关学习算法与理论研究
期刊论文 31 会议论文 42 获奖 1
同项目会议论文
Improving ESVMwith Generalized Cross-Validation
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews
Heterogeneous Multi-task Semantic Feature Learning forClassification
Collaborating between Local and Global Learning for Distributed Online MultipleTasks
RepresentationLearning via Semi-supervised Autoencoder for Multi-task Learning
A new similarity measure based on preference sequences for collaborative filtering
PPLSA: Parallel probabilistic latent semantic analysis based on MapReduce
A New Similarity Measure Based on Preference Sequence for Collaborative Filtering
Embedding with autoencoder regularization
Shared structure learning for multiple tasks with multiple views
Fast Time Series Classification Based on Infrequent Shapelets
TINAC: A Fast and Effective Web Video Topic Detection Framework
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification
Parallel Implementation of Apriori Algorithm Based on MapReduce
Parallel Max-Min Ant System Using MapReduce
Fast Time Series Classification Based on Infrequent Shapelets
Triplex Transfer Learning: Exploiting both Shared and Distinct Concepts for Text Classification
Embedding with autoencoder regularization
Shared structure learning for multiple tasks with multiple views
Fast Time Series Classification Based on Infrequent Shapelets
Outlier Detection Based on Extreme Learning Machine
PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce
Parallel implementation of apriori algorithm based on MapReduce
Parallel decision tree with application to water quality data analysis
Effectively constructing reliable data for cross-domain text classification
Multi-Task Semi-Supervised Semantic Feature Learning for Classification
Parallel Decision Tree with Application to Water Quality Data Analysis
Fast Time Series Classification Based on Infrequent Shapelets
Concept Learning for Cross-domain Text Classification: a General Probabilistic Framework
Effectively Constructing Reliable Data for Cross-Domain Text Classification
Online Frequent Episode Mining
Balanced Seed Selection for Budgeted Influence Maximization in Social Networks
Discovering and learning sensational episodes of news events
Quad-tuple PLSA: Incorporating entity and its rating in aspect identification
Bayesian Maximum Margin Principal Component Analysis
Scalable Bootstrap Clustering for Massive Data
大数据下的机器学习算法综述
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing
Multi-task Multi-view Learning for Heterogeneous Tasks
Supervised Representation Learning: Transfer Learning with Deep Autoencoders
Extreme Learning Machine Ensemble Classifier for Large-scale Data