Minimally Constrained Multilingual Word Embeddings via Artificial Code Switching
Michael Wick, Pallika Kanani, Adam Pocock, AAAI 2016
Attribute Extraction from Noisy Text Using Character-based Sequence Tagging Models
Pallika Kanani, Michael Wick, Adam Pocock, NIPS Workshop on Machine Learning for e-Commerce 2016.
Minimally Constrained Multilingual Word Embeddings via Artificial Code Switching
Michael Wick, Pallika Kanani, Adam Pocock, NIPS Workshop on Multi-Task and Transfer Learning 2016.
Augur: Data-Parallel Probabilistic Modelling
Jean-Baptiste Tristan, Dan Huang, Joseph Tassarotti, Adam Pocock, Stephen Green, Guy Steele, Neural Information Processing Systems (NIPS 2014)
Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
M-J Zhao, N Edakunni, A Pocock, G Brown, Journal Publication, (2013)
Augur: a Modeling Language for Data-Parallel Probabilistic Inference.
Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Pocock, Stephen J. Green, Guy L. Steele Jr., CoRR abs/1312.3613 (2013)
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Lujan, Journal Publication, (2012)
Feature Selection via Joint Likelihood
Adam Pocock, PhD Thesis, (2012)
Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Lujan, Gavin Brown, In Proceedings, (2012)
Online Nonstationary Boosting
Adam Pocock, Paraskevas Yiapanis, Jeremy Singer, Mikel Lujan, Gavin Brown, In Proceedings, (2010)
Toward a more accurate understanding of the limits of the TLS execution paradigm
N Ioannou, J Singer, S Khan, P Xelakakis, P Yiapanis, A Pocock, G Brown, M Lujan, I Watson, M Cintra, In Proceedings, (2010)