William F. Punch III
Artificial Intelligence · 2000–2018
A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #6,716 of 35,345 by trust here, #7,797 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #14,527 of 21,575 by trust here, #19,310 by citations
- Information Systems — 6 citations into it
- Molecular Biology — 6 citations into it; #10,744 of 17,773 by trust here, #10,864 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom William F. Punch III trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ana L. N. Fred
- Anil K. Jain
- Alexander Strehl
- Bradley Efron
- Emanuel Parzen
- Arthur P. Dempster
- Joydeep Ghosh
- David E. Goldberg
- George Karypis
- Jon M. Kleinberg
Who trusts William F. Punch III overall
- Alexander P. Topchy
- Julia Handl
- Ludmila I. Kuncheva
- Dongkuan Xu
- I. Fodor
- Xiao-Lei Zhang
- Anil K. Jain
- Sandro Vega-Pons
- Zexuan Zhu
- Cheng-Lung Huang
Papers from William F. Punch III's perspective
Ordered by how strongly the researchers William F. Punch III trusts endorse each paper. Same corpus, a different order for every researcher.
- Algorithms for Clustering Data
- Data clustering using evidence accumulation (Object recognition supported by user interaction for service robots)
- Data clustering: a review
- Nearest neighbor pattern classification
- Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
- Unsupervised Learning of Finite Mixture Models
- Genetic Algorithms in Search Optimization and Machine Learning
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Finding Consistent Clusters in Data Partitions (International Workshop on Multiple Classifier Systems)
Their papers
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2018) — 317 citations
- Dimensionality reduction using genetic algorithms (2000) — 900 citations
- Clustering ensembles: models of consensus and weak partitions (2005) — 718 citations
- A Mixture Model for Clustering Ensembles (2004) — 451 citations
- Combining multiple weak clusterings (2003) — 387 citations
- Predicting student performance: an application of data mining methods with an educational Web-based system (2003) — 372 citations