37 Result(s)

Reference Work Entry In depth

Ensemble

Zhi-Hua Zhou in Encyclopedia of Database Systems (2018)

Reference Work Entry In depth

Boosting

Zhi-Hua Zhou in Encyclopedia of Database Systems (2018)

Chapter and Conference Paper

Social Stream Classification with Emerging New Labels

As an important research topic with well-recognized practical values, classification of social streams has been identified with increasing popularity with social data, such as the tweet stream generated by Twi...

**n Mu, Feida Zhu, Yue Liu, Ee-Peng Lim… in Advances in Knowledge Discovery and Data M… (2018)

Chapter and Conference Paper

Multi-View Matrix Completion for Clustering with Side Information

In many clustering applications, real world data are often collected from multiple sources or with features from multiple channels. Thus, multi-view clustering has attracted much attention during the past few ...

Peng Zhao, Yuan Jiang, Zhi-Hua Zhou in Advances in Knowledge Discovery and Data Mining (2017)

Living Reference Work Entry In depth

Ensemble

Zhi-Hua Zhou in Encyclopedia of Database Systems

Living Reference Work Entry In depth

Boosting

Zhi-Hua Zhou in Encyclopedia of Database Systems

Chapter and Conference Paper

A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions

Evolutionary algorithms (EAs) are population-based general-purpose optimization algorithms, and have been successfully applied in real-world optimization tasks. However, previous theoretical studies often empl...

Chao Qian, Yang Yu, Zhi-Hua Zhou in Intelligent Data Engineering and Automated… (2016)

Chapter and Conference Paper

Facial Age Estimation by Total Ordering Preserving Projection

Facial age estimation is one of the unsolved challenging issues in automatic face perception. Previous studies usually formulated it as a classification problem, where each age is regarded as a class, or a reg...

**ao-Dong Wang, Zhi-Hua Zhou in PRICAI 2016: Trends in Artificial Intelligence (2016)

Chapter and Conference Paper

Text Relevance Analysis Method over Large-Scale High-Dimensional Text Data Processing

As the amount of digital information is exploding in social, industry and scientific areas, MapReduce is a distributed computation framework, which has become widely adopted for analytics on large-scale data. ...

Ling Wang, Wei Ding, Tie Hua Zhou, Keun Ho Ryu in Computational Collective Intelligence (2015)

Chapter and Conference Paper

Multi-label Selective Ensemble

Multi-label selective ensemble deals with the problem of reducing the size of multi-label ensembles whilst kee** or improving the performance. In practice, it is of important value, since the generated ensem...

Nan Li, Yuan Jiang, Zhi-Hua Zhou in Multiple Classifier Systems (2015)

Chapter and Conference Paper

A PWF Smoothing Algorithm for K-Sensitive Stream Mining Technologies over Sliding Windows

The development of Streaming Mining technologies as a hotspot entered the limelight, which is more effectively to avoid big data and distributed streams mining problems. Especially for the IoT and Ubiquitous Comp...

Ling Wang, Zhao Yang Qu, Tie Hua Zhou… in Computational Collective Intelligence. Tec… (2014)

Article

Exploiting unlabeled data to enhance ensemble diversity

Ensemble learning learns from the training data by generating an ensemble of multiple base learners. It is well-known that to construct a good ensemble with strong generalization ability, the base learners are...

Min-Ling Zhang, Zhi-Hua Zhou in Data Mining and Knowledge Discovery (2013)

Chapter and Conference Paper

Selective Ensemble of Classifier Chains

In multi-label learning, the relationship among labels is well accepted to be important, and various methods have been proposed to exploit label relationships. Amongst them, ensemble of classifier chains (ECC) wh...

Nan Li, Zhi-Hua Zhou in Multiple Classifier Systems (2013)