Adam Pocock
Adam Pocock
Researcher at Oracle Labs Machine Learning Research Group
Verified email at - Homepage
Cited by
Cited by
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
G Brown, A Pocock, MJ Zhao, M LujŠn
The Journal of Machine Learning Research 13, 27-66, 2012
Character-based attribute value extraction system
PH Kanani, ML Wick, AC Pocock
US Patent App. 14/700,683, 2015
Beyond Fano’s Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
MJ Zhao, N Edakunni, A Pocock, G Brown
Journal of Machine Learning Research 14, 1033-1090, 2013
Fundamental nano-patterns to characterize and classify java methods
J Singer, G Brown, M LujŠn, A Pocock, P Yiapanis
Electronic Notes in Theoretical Computer Science 253 (7), 191-204, 2010
Multilingual embeddings for natural language processing
ML Wick, PH Kanani, AC Pocock
US Patent 9,779,085, 2017
Online Non-stationary Boosting
A Pocock, P Yiapanis, J Singer, M LujŠn, G Brown
9th International Workshop on Multiple Classifier Systems (MCS 2010), 205-214, 2010
Augur: Data Parallel Probabilistic Modeling
JB Tristan, D Huang, J Tassarotti, AC Pocock, SJ Green, GL Steele
Neural Information Processing Systems 27, 2600-2608, 2014
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching
M Wick, P Kanani, A Pocock
30th Annual AAAI conference, 2016
Efficient feature selection using shrinkage estimators
K Sechidis, L Azzimonti, A Pocock, G Corani, J Weatherall, G Brown
Machine Learning 108 (8-9), 1261-1286, 2019
Toward a more accurate understanding of the limits of the TLS execution paradigm
N Ioannou, J Singer, S Khan, P Xekalakis, P Yiapanis, A Pocock, G Brown, ...
Workload Characterization (IISWC), 2010 IEEE International Symposium on, 1-12, 2010
Ensembled decision systems using feature hashing models
JB Tristan, A Pocock, M Wick, G Steele
US Patent 11,263,541, 2022
Feature Selection via Joint Likelihood
AC Pocock
The University of Manchester, 2012
A scalable implementation of information theoretic feature selection for high dimensional data
A Kleerekoper, M Pappas, A Pocock, G Brown, M Lujan
2015 IEEE International Conference on Big Data (Big Data), 339-346, 2015
Multi-dimensional approach to agent assignment
D Allison, D Gulsen, VCW Chan, AC POCOCK, P Kanani, D Greenberg
US Patent App. 14/804,496, 2015
Informative Priors for Markov Blanket Discovery
A Pocock, M LujŠn, G Brown
15th International Conference on AI and Statistics (AISTATS 2012), 905-913, 2012
Static java program features for intelligent squash prediction
J Singer, P Yiapanis, A Pocock, M Lujan, G Brown, N Ioannou, M Cintra
Statistical and Machine learning approaches to ARchitecture and compilaTion†…, 2010
Feature Selection using Information Theoretic Techniques
A Pocock
The University of Manchester, 2008
Guided data exploration
U Sheffer, AC Pocock, B Stevens, M Ishaque, V Zelevinsky, TR Spaulding
US Patent App. 14/707,283, 2015
Attribute Extraction from Noisy Text Using Character-based Sequence Tagging Models
P Kanani, M Wick, A Pocock
NIPS eCommerce workshop, 2015
Tribuo: Machine Learning with Provenance in Java
A Pocock
arXiv preprint arXiv:2110.03022, 2021
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