Jiang Su

PhD thesis, 2018

A Robust and Energy-Efficient Weighted Clustering Algorithm on Mobile Ad Hoc Sensor Networks.

[BibT_eX]

[DOI]

Algorithms, 2018

Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification.

[BibT_eX]

[DOI]

Philip Heng Wai Leong

Peter Y. K. Cheung

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2018

Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic.

[BibT_eX]

[DOI]

Philip Heng Wai Leong

Peter Y. K. Cheung

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2018

2017

End-to-End Multi-View Networks for Text Classification.

[BibT_eX]

[DOI]

Hongyu Guo

Colin Cherry

CoRR, 2017

Toward Energy-Efficient and Robust Clustering Algorithm on Mobile Ad Hoc Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the Combinatorial Optimization and Applications, 2017

2016

Neural Network Based Reinforcement Learning Acceleration on FPGA Platforms.

[BibT_eX]

[DOI]

SIGARCH Comput. Archit. News, 2016

Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout.

[BibT_eX]

[DOI]

David B. Thomas

Peter Y. K. Cheung

Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

2012

Improving multi-view semi-supervised learning with agreement-based sampling.

[BibT_eX]

[DOI]

Jin Huang

Jelber Sayyad-Shirabad

Intell. Data Anal., 2012

Hypergraph matching based on Marginalized Constrained Compatibility.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Large Scale Text Classification using Semisupervised Multinomial Naive Bayes.

[BibT_eX]

[DOI]

Jelber Sayyad Shirab

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Improving Co-training with Agreement-Based Sampling.

[BibT_eX]

[DOI]

Jin Huang

Jelber Sayyad-Shirabad

Proceedings of the Rough Sets and Current Trends in Computing, 2010

2009

Active Learning with Automatic Soft Labeling for Induction of Decision Trees.

[BibT_eX]

[DOI]

Jelber Sayyad-Shirabad

Jin Huang

Proceedings of the Advances in Artificial Intelligence, 2009

2008

Naive Bayes for optimal ranking.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2008

Discriminative parameter learning for Bayesian networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2006

Learning probabilistic decision trees for AUC.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2006

Full Bayesian network classifiers.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Probabilistic Inference Trees for Classification and Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

A Fast Decision Tree Learning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Augmenting naive Bayes for ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Learning Tree Augmented Naive Bayes for Ranking.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2005

Instance Cloning Local Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2005

Learning <i>k</i>-Nearest Neighbor Naive Bayes for Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

One Dependence Augmented Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

Hidden Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

Representing Conditional Independence Using Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

2004

Learning Conditional Independence Tree for Ranking.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Conditional Independence Trees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2004, 2004

Naive Bayesian Classifiers for Ranking.

[BibT_eX]

[DOI]