Publications
114 results found
Russell RA, Adams NM, Stephens D, et al., 2011, Methodology for Quantitative Analysis of 3-D Nuclear Architecture, ADVANCES IN NUCLEAR ARCHITECTURE, Editors: Adams, Freemont, Publisher: SPRINGER-VERLAG BERLIN, Pages: 173-187, ISBN: 978-90-481-9898-6
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- Citations: 2
Sykulski AM, Adams NM, Jennings NR, 2010, On-Line Adaptation of Exploration in the One-Armed Bandit with Covariates Problem, 9th International Conference on Machine Learning and Applications (ICMLA 2010), Pages: 459-464
Many sequential decision making problems require an agent to balance exploration and exploitation to maximise long-term reward. Existing policies that address this tradeoff typically have parameters that are set a priori to control the amount of exploration. In finite-time problems, the optimal values of these parameters are highly dependent on the problem faced. In this paper, we propose adapting the amount of exploration performed on-line, as information is gathered by the agent. To this end we introduce a novel algorithm, e-ADAPT, which has no free parameters. The algorithm adapts as it plays and sequentially chooses whether to explore or exploit, driven by the amount of uncertainty in the system. We provide simulation results for the onearmed bandit with covariates problem, which demonstrate the effectiveness of e-ADAPT to correctly control the amount of exploration in finite-time problems and yield rewards that are close to optimally tuned off-line policies. Furthermore, we show that e-ADAPT is robust to a high-dimensional covariate, as well as misspecified models. Finally, we describe how our methods could be extended to other sequential decision making problems, such as dynamic bandit problems. with changing reward structures.
Adams NM, Freemont PS, 2010, Advances in Nuclear Architecture, Publisher: Springer Verlag, ISBN: 9789048198986
Cohen PR, Adams N, Berthold MR, 2010, Advances in Intelligent Data Analysis IX, Publisher: Springer-Verlag New York Inc, ISBN: 9783642130618
This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Analysis, IDA 2010, held in Tucson, AZ, USA in May 2010.
Tasoulis DK, Adams NM, Hand DJ, 2010, Selective fusion of out-of-sequence measurements, INFORMATION FUSION, Vol: 11, Pages: 183-191, ISSN: 1566-2535
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- Citations: 14
Adams N, 2010, Dataset Shift in Machine Learning, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, Vol: 173, Pages: 274-274, ISSN: 0964-1998
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- Citations: 18
Beal CR, Adams NM, Cohen PR, 2010, Reading Proficiency and Mathematics Problem Solving by High School English Language Learners, URBAN EDUCATION, Vol: 45, Pages: 58-74, ISSN: 0042-0859
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- Citations: 41
Anagnostopoulos C, Adams NM, Hand DJ, 2010, Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks, COMPUTER JOURNAL, Vol: 53, Pages: 1401-1414, ISSN: 0010-4620
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- Citations: 1
Adams NM, 2010, Perspectives on data mining, INTERNATIONAL JOURNAL OF MARKET RESEARCH, Vol: 52, Pages: 11-19, ISSN: 1470-7853
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- Citations: 16
Pavlidis NG, Adams NM, Nicholson D, et al., 2010, Prospects for Bandit Solutions in Sensor Management, COMPUTER JOURNAL, Vol: 53, Pages: 1370-1383, ISSN: 0010-4620
Adams NM, Cohen PR, Berthold MR, 2010, Changing the Focus of the IDA Symposium, 9th International Symposium on Intelligent Data Analysis, Publisher: SPRINGER-VERLAG BERLIN, Pages: 1-+, ISSN: 0302-9743
Adams NM, Tasoulis DK, Anagnostopoulos C, et al., 2010, Temporally-adaptive linear classification for handling population drift in credit scoring, COMPSTAT 2010: Proceedings of the 19th International Conference on Computational Statistics, Publisher: Springer, Pages: 167-176
Adams NM, Anagnostopoulos C, Tasoulis DK, et al., 2009, Temporally adaptive estimation of logistic classifiers on data streams, Advances in Data Analysis and Classification, Vol: 3, Pages: 243-261
Adams N, Robardet C, Siebes A, 2009, Advances in Intelligent Data Analysis VIII, Publisher: Springer-Verlag New York Inc, ISBN: 9783642039140
This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Analysis, IDA 2009, held in Lyon, France, August 31 ' ...
Russell RA, Adams NM, Stephens DA, et al., 2009, Segmentation of Fluorescence Microscopy Images for Quantitative Analysis of Cell Nuclear Architecture, BIOPHYSICAL JOURNAL, Vol: 96, Pages: 3379-3389, ISSN: 0006-3495
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- Citations: 26
Ravi S, 2009, Statistical and Probabilistic Methods in Actuarial Science, Journal of the Royal Statistical Society Series A: Statistics in Society, Vol: 172, Pages: 530-530, ISSN: 0964-1998
Adams N, 2009, Semi-supervised Learning, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, Vol: 172, Pages: 530-530, ISSN: 0964-1998
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- Citations: 3
Cohen P, Adams N, 2009, Intelligent Data Analysis in the 21st Century, 8th International Symposium on Intelligent Data Analysis, Publisher: SPRINGER-VERLAG BERLIN, Pages: 1-+, ISSN: 0302-9743
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- Citations: 2
Ross GJ, Tasoulis DK, Adams NM, et al., 2009, Streaming annotation and prediction for regime switching data streams, Publisher: ACM, Pages: 1501-1505
Juszczak P, Adams NM, Hand DJ, et al., 2008, Off-the-peg and bespoke classifiers for fraud detection, COMPUTATIONAL STATISTICS & DATA ANALYSIS, Vol: 52, Pages: 4521-4532, ISSN: 0167-9473
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- Citations: 30
Pavlidis NG, Tasoulis DK, Adams NM, et al., 2008, Dynamic multi-armed bandit with covariates, ECAI 2008, 18th European Conference on Artificial Intelligence, Pages: 777-778
Tasoulis DK, Adams NM, Hand DJ, 2008, Exploiting and handling delayed measurements in sensor systems, SENSORCOMM ’08, Second International Conference on Sensor Technologies and Applications, Pages: 166-171
Whitrow C, Hand DJ, Juszczak P, et al., 2008, Transaction aggregation as a strategy for credit card fraud detection, Data Mining and Knowledge Discovery
Weston DJ, Hand DJ, Adams NM, et al., 2008, Plastic card fraud detection using peer group analysis, Advances in Data Analysis and Classification, Vol: 2, Pages: 45-62
Anagnostopoulos C, Tasoulis DK, Adams NM, et al., 2008, Online optimization for variable selection in data streams, ECAI 2008, 18th European Conference on Artificial Intelligence, Pages: 132-136
Anagnostopoulos C, Adams NM, Hand DJ, 2008, Deciding what to observe next: adaptive variable selection for regression in multivariate data streams, 23rd Annual ACM Symposium on Applied Computing, Publisher: ASSOC COMPUTING MACHINERY, Pages: 961-965
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- Citations: 2
Cohen PR, Beale CR, Adams NM, 2008, “The design, deployment and evaluation of the AnimalWatch intelligent tutoring system, ECAI 2008, 18th European Conference on Artificial Intelligence, Pages: 663-667
Tasoulis DK, Adams NM, Hand DJ, 2008, Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks, UKSim 10th International Conference on Computer Modelling and Simulation (EUROSIM/UKSim), Publisher: IEEE COMPUTER SOC, Pages: 661-666, ISSN: 2381-4772
Anagnostopoulos C, Adams N, 2008, Simulating dynamic covariance structures for testing the adaptive behavior of variable selection algorithms, UKSim 10th International Conference on Computer Modelling and Simulation (EUROSIM/UKSim), Publisher: IEEE COMPUTER SOC, Pages: 52-57, ISSN: 2381-4772
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- Citations: 2
Shiels C, Adams NM, Islam SA, et al., 2007, Quantitative analysis of cell nucleus organisation, Plos Computational Biology, Vol: 3, Pages: 1161-1168, ISSN: 1553-7358
There are almost 1,300 entries for higher eukaryotes in the Nuclear Protein Database. The proteins' subcellular distribution patterns within interphase nuclei can be complex, ranging from diffuse to punctate or microspeckled, yet they all work together in a coordinated and controlled manner within the three-dimensional confines of the nuclear volume. In this review we describe recent advances in the use of quantitative methods to understand nuclear spatial organisation and discuss some of the practical applications resulting from this work.
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