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Geoff Holmes 0001
Person information
- affiliation: University of Waikato, Department of Computer Science, Hamilton, New Zealand
Other persons with the same name
- Geoff Holmes — disambiguation page
- Geoff Holmes 0002 (aka: Geoffrey Holmes 0002) — Leather and Shoe Research Association of New Zealand (LASRA), Palmerston North, New Zealand
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2020 – today
- 2024
- [j32]Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
Feature extractor stacking for cross-domain few-shot learning. Mach. Learn. 113(1): 121-158 (2024) - [i9]Xin Xu, Eibe Frank, Geoffrey Holmes:
Multiple Instance Verification. CoRR abs/2407.06544 (2024) - 2023
- [c67]Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. CoLLAs 2023: 481-492 - [c66]Geoffrey Holmes, Eibe Frank, Dale Fletcher:
Image Classification Using Class-Agnostic Object Detection. AIAI (1) 2023: 255-266 - 2022
- [j31]Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes:
Sampling Permutations for Shapley Value Estimation. J. Mach. Learn. Res. 23: 43:1-43:46 (2022) - [j30]Rory Mitchell, Eibe Frank, Geoff Holmes:
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles. PeerJ Comput. Sci. 8: e880 (2022) - [j29]Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes:
Bandwidth-Optimal Random Shuffling for GPUs. ACM Trans. Parallel Comput. 9(1): 3:1-3:20 (2022) - [c65]Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD 2022: 81-83 - [c64]Geoff Holmes, Eibe Frank, Dale Fletcher, Corey Sterling:
Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models. IUI 2022: 584-593 - [i8]Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes:
Cross-domain Few-shot Meta-learning Using Stacking. CoRR abs/2205.05831 (2022) - 2021
- [j28]Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier Chains: A Review and Perspectives. J. Artif. Intell. Res. 70: 683-718 (2021) - [j27]Rory Mitchell, Eibe Frank, Geoffrey Holmes:
An Empirical Study of Moment Estimators for Quantile Approximation. ACM Trans. Database Syst. 46(1): 3:1-3:21 (2021) - [i7]Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes:
Sampling Permutations for Shapley Value Estimation. CoRR abs/2104.12199 (2021) - [i6]Rory Mitchell, Daniel Stokes, Eibe Frank, Geoffrey Holmes:
Bandwidth-Optimal Random Shuffling for GPUs. CoRR abs/2106.06161 (2021) - 2020
- [c63]Neda Sharifi, Muhammad Ali, Geoffrey Holmes, Yifan Chen:
Blind Obstacle Avoidance Using Taxicab Geometry for NanorobotAssisted Direct Drug Targeting. EMBC 2020: 4700-4703 - [i5]Rory Mitchell, Eibe Frank, Geoffrey Holmes:
GPUTreeShap: Fast Parallel Tree Interpretability. CoRR abs/2010.13972 (2020)
2010 – 2019
- 2019
- [j26]Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem:
Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. 108(10): 1877-1878 (2019) - [c62]Neda Sharifi, Geoffrey Holmes, Yu Zhou, Muhammad Ali, Yifan Chen:
Overcoming Channel Uncertainties in Molecular-Communication-Inspired Direct Drug Targeting. EMBC 2019: 1973-1976 - [c61]Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
On Calibration of Nested Dichotomies. PAKDD (1) 2019: 69-80 - [c60]Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. PAKDD (1) 2019: 81-93 - [i4]Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier Chains: A Review and Perspectives. CoRR abs/1912.13405 (2019) - 2018
- [j25]Karina Gibert, Jeffery S. Horsburgh, Ioannis N. Athanasiadis, Geoff Holmes:
Preface to the thematic issue on Environmental Data Science. Applications to air quality and water cycle. Environ. Model. Softw. 106: 1-3 (2018) - [j24]Karina Gibert, Jeffery S. Horsburgh, Ioannis N. Athanasiadis, Geoff Holmes:
Environmental Data Science. Environ. Model. Softw. 106: 4-12 (2018) - [j23]Karina Gibert, Joaquín Izquierdo, Miquel Sànchez-Marrè, Serena H. Hamilton, Ignasi Rodríguez-Roda, Geoff Holmes:
Which method to use? An assessment of data mining methods in Environmental Data Science. Environ. Model. Softw. 110: 3-27 (2018) - [j22]Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren:
The online performance estimation framework: heterogeneous ensemble learning for data streams. Mach. Learn. 107(1): 149-176 (2018) - [c59]Yifan Chen, Neda Sharifi, Geoffrey Holmes, U. Kei Cheang:
Biosensing by Learning: Cancer Detection as Iterative optimization. EMBC 2018: 1837-1840 - [i3]Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer:
Probability Calibration Trees. CoRR abs/1808.00111 (2018) - [i2]Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. CoRR abs/1809.02740 (2018) - [i1]Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
On the Calibration of Nested Dichotomies for Large Multiclass Tasks. CoRR abs/1809.02744 (2018) - 2017
- [j21]Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2015. Mach. Learn. 106(4): 459-461 (2017) - [j20]Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, Zhi-Hua Zhou:
Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016). Mach. Learn. 106(5): 623-625 (2017) - [j19]Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem:
Adaptive random forests for evolving data stream classification. Mach. Learn. 106(9-10): 1469-1495 (2017) - [c58]Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer:
Probability Calibration Trees. ACML 2017: 145-160 - [c57]Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer:
Extremely Fast Decision Tree Mining for Evolving Data Streams. KDD 2017: 1733-1742 - 2016
- [j18]Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes:
MEKA: A Multi-label/Multi-target Extension to WEKA. J. Mach. Learn. Res. 17: 21:1-21:5 (2016) - 2015
- [j17]Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes:
Evaluation methods and decision theory for classification of streaming data with temporal dependence. Mach. Learn. 98(3): 455-482 (2015) - [c56]Geoffrey Holmes, Tie-Yan Liu:
Preface. ACML 2015: 7 - [c55]Brandon M. Thomas, Joanna M. Stewart, David Bainbridge, David M. Nichols, William J. Rogers, Geoff Holmes:
Digital Libraries Unfurled: Supporting the New Zealand Flag Debate. TPDL 2015: 330-333 - [c54]Ryan K. L. Ko, Giovanni Russello, Richard Nelson, Shaoning Pang, Aloysius Cheang, Gillian Dobbie, Abdolhossein Sarrafzadeh, Sivadon Chaisiri, Muhammad Rizwan Asghar, Geoffrey Holmes:
STRATUS: Towards Returning Data Control to Cloud Users. ICA3PP (Workshops and Symposiums) 2015: 57-70 - [c53]Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren:
Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams. ICDM 2015: 1003-1008 - [c52]Peter Reutemann, Geoff Holmes:
Big Data with ADAMS. BigMine 2015: 5-8 - [c51]Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer:
Efficient Online Evaluation of Big Data Stream Classifiers. KDD 2015: 59-68 - [p3]Alan Yu Shyang Tan, Ryan K. L. Ko, Geoff Holmes, Bill Rogers:
Provenance for cloud data accountability. The Cloud Security Ecosystem 2015: 171-185 - 2014
- [j16]Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes:
Active Learning With Drifting Streaming Data. IEEE Trans. Neural Networks Learn. Syst. 25(1): 27-39 (2014) - [c50]Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren:
Algorithm Selection on Data Streams. Discovery Science 2014: 325-336 - [c49]Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren:
Towards Meta-learning over Data Streams. MetaSel@ECAI 2014: 37-38 - 2013
- [c48]Yu Shyang Tan, Ryan K. L. Ko, Geoff Holmes:
Security and Data Accountability in Distributed Systems: A Provenance Survey. HPCC/EUC 2013: 1571-1578 - [c47]Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite:
CD-MOA: Change Detection Framework for Massive Online Analysis. IDA 2013: 92-103 - [c46]Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes:
Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them. ECML/PKDD (1) 2013: 465-479 - [c45]Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes:
Efficient data stream classification via probabilistic adaptive windows. SAC 2013: 801-806 - 2012
- [j15]Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes:
Experiment databases - A new way to share, organize and learn from experiments. Mach. Learn. 87(2): 127-158 (2012) - [j14]Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
Scalable and efficient multi-label classification for evolving data streams. Mach. Learn. 88(1-2): 243-272 (2012) - [j13]Albert Bifet, Eibe Frank, Geoff Holmes, Bernhard Pfahringer:
Ensembles of Restricted Hoeffding Trees. ACM Trans. Intell. Syst. Technol. 3(2): 30:1-30:20 (2012) - [c44]Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read:
Stream Data Mining Using the MOA Framework. DASFAA (2) 2012: 309-313 - [c43]Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes:
Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. IDA 2012: 313-323 - [c42]Geoff Holmes:
Developing data mining applications. KDD 2012: 225 - 2011
- [j12]Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier chains for multi-label classification. Mach. Learn. 85(3): 333-359 (2011) - [c41]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer:
MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. Discovery Science 2011: 46-60 - [c40]Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà:
Mining frequent closed graphs on evolving data streams. KDD 2011: 591-599 - [c39]Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
An effective evaluation measure for clustering on evolving data streams. KDD 2011: 868-876 - [c38]Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes:
Active Learning with Evolving Streaming Data. ECML/PKDD (3) 2011: 597-612 - [c37]Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl:
MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD (3) 2011: 617-620 - [c36]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà:
Detecting Sentiment Change in Twitter Streaming Data. WAPA 2011: 5-11 - [c35]Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
Streaming Multi-label Classification. WAPA 2011: 19-25 - [c34]Indre Zliobaite, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
MOA Concept Drift Active Learning Strategies for Streaming Data. WAPA 2011: 48-55 - 2010
- [j11]Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer:
MOA: Massive Online Analysis. J. Mach. Learn. Res. 11: 1601-1604 (2010) - [j10]Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten:
WEKA - Experiences with a Java Open-Source Project. J. Mach. Learn. Res. 11: 2533-2541 (2010) - [c33]Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. ICDM Workshops 2010: 1400-1403 - [c32]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank:
Fast Perceptron Decision Tree Learning from Evolving Data Streams. PAKDD (2) 2010: 299-310 - [c31]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer:
Leveraging Bagging for Evolving Data Streams. ECML/PKDD (1) 2010: 135-150 - [c30]Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl:
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. WAPA 2010: 44-50 - [c29]Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer:
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. ACML 2010: 225-240 - [p2]Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg:
Weka-A Machine Learning Workbench for Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 1269-1277 - [e1]Bernhard Pfahringer, Geoffrey Holmes, Achim G. Hoffmann:
Discovery Science - 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010. Proceedings. Lecture Notes in Computer Science 6332, Springer 2010, ISBN 978-3-642-16183-4 [contents]
2000 – 2009
- 2009
- [j9]Mark A. Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten:
The WEKA data mining software: an update. SIGKDD Explor. 11(1): 10-18 (2009) - [c28]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà:
Improving Adaptive Bagging Methods for Evolving Data Streams. ACML 2009: 23-37 - [c27]Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes:
The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification. Australasian Conference on Artificial Intelligence 2009: 260-269 - [c26]Geoffrey Holmes, Dale Fletcher, Peter Reutemann, Eibe Frank:
Analysing chromatographic data using data mining to monitor petroleum content in water. ITEE 2009: 278-290 - [c25]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà:
New ensemble methods for evolving data streams. KDD 2009: 139-148 - [c24]Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank:
Classifier Chains for Multi-label Classification. ECML/PKDD (2) 2009: 254-269 - 2008
- [j8]Matt Jones, Steve Jones, Gareth Bradley, Nigel Warren, David Bainbridge, Geoff Holmes:
ONTRACK: Dynamically adapting music playback to support navigation. Pers. Ubiquitous Comput. 12(7): 513-525 (2008) - [c23]Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes:
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis. Australasian Conference on Artificial Intelligence 2008: 278-288 - [c22]Xing Wu, Geoffrey Holmes, Bernhard Pfahringer:
Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search. Australasian Conference on Artificial Intelligence 2008: 355-361 - [c21]Jesse Read, Bernhard Pfahringer, Geoffrey Holmes:
Multi-label Classification Using Ensembles of Pruned Sets. ICDM 2008: 995-1000 - [c20]Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes:
Organizing the World's Machine Learning Information. ISoLA 2008: 693-708 - [c19]Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby:
Handling Numeric Attributes in Hoeffding Trees. PAKDD 2008: 296-307 - [c18]Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes:
Learning from the Past with Experiment Databases. PRICAI 2008: 485-496 - 2007
- [j7]Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson:
The Need for Open Source Software in Machine Learning. J. Mach. Learn. Res. 8: 2443-2466 (2007) - [c17]Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby:
New Options for Hoeffding Trees. Australian Conference on Artificial Intelligence 2007: 90-99 - 2005
- [c16]Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby:
Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams. CITA 2005: 130-36 - [c15]Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer:
Stress-Testing Hoeffding Trees. PKDD 2005: 495-502 - [p1]Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer:
WEKA - A Machine Learning Workbench for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 1305-1314 - 2004
- [j6]Eibe Frank, Mark A. Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten:
Data mining in bioinformatics using Weka. Bioinform. 20(15): 2479-2481 (2004) - [c14]Mi Li, Geoffrey Holmes, Bernhard Pfahringer:
Clustering Large Datasets Using Cobweb and K-Means in Tandem. Australian Conference on Artificial Intelligence 2004: 368-379 - [c13]Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence 2004: 488-499 - [c12]Geoffrey Holmes, Dale Fletcher:
An Instrument Control System Using Predictive Modelling. ICINCO (1) 2004: 292-295 - 2003
- [j5]Mark A. Hall, Geoffrey Holmes:
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. IEEE Trans. Knowl. Data Eng. 15(6): 1437-1447 (2003) - 2002
- [c11]Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark A. Hall:
Racing Committees for Large Datasets. Discovery Science 2002: 153-164 - [c10]Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall:
Multiclass Alternating Decision Trees. ECML 2002: 161-172 - 2001
- [j4]Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark A. Hall, Ian H. Witten:
Interactive machine learning: letting users build classifiers. Int. J. Hum. Comput. Stud. 55(3): 281-292 (2001) - [c9]Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger:
Wrapping Boosters against Noise. Australian Joint Conference on Artificial Intelligence 2001: 402-413 - [c8]Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby:
Optimizing the Induction of Alternating Decision Trees. PAKDD 2001: 477-487 - 2000
- [j3]Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten:
Naive Bayes for Regression (Technical Note). Mach. Learn. 41(1): 5-25 (2000)
1990 – 1999
- 1999
- [c7]Geoffrey Holmes, Mark A. Hall, Eibe Frank:
Generating Rule Sets from Model Trees. Australian Joint Conference on Artificial Intelligence 1999: 1-12 - 1998
- [j2]Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten:
Using Model Trees for Classification. Mach. Learn. 32(1): 63-76 (1998) - [c6]W. J. Teahan, Stuart Inglis, John G. Cleary, Geoffrey Holmes:
Correcting English Text Using PPM Models. Data Compression Conference 1998: 289-298 - [c5]Murray Pearson, Tony McGregor, Geoffrey Holmes:
Teaching computer systems to majors: a MIPS based solution. WCAE@ISCA 1998: 5 - 1996
- [c4]John G. Cleary, Geoffrey Holmes, Sally Jo Cunningham, Ian H. Witten:
MetaData for Database Mining. MD 1996 - 1995
- [c3]Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. Witten:
The Development of Holte's 1R Classifier. ANNES 1995: 239-242 - 1993
- [c2]Matthew C. Humphrey, Geoffrey Holmes, Sally Jo Cunningham:
Improving the image recognition capability of Hopfield neural networks. ANNES 1993: 96-99 - [c1]Geoffrey Holmes, Sally Jo Cunningham:
Using data mining to support the construction and maintenance of expert systems. ANNES 1993: 156-159 - 1991
- [j1]Alistair C. Veitch, Geoffrey Holmes:
A Modified Quickprop Algorithm. Neural Comput. 3(3): 310-311 (1991)
Coauthor Index
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