Andrew McCallum
Andrew McCallum
Distinguished Professor of Computer Science, University of Massachusetts Amherst
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
J Lafferty, A McCallum, FCN Pereira
A comparison of event models for naive bayes text classification
A McCallum, K Nigam
AAAI-98 workshop on learning for text categorization 752 (1), 41-48, 1998
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39 (2), 103-134, 2000
Mallet: A machine learning for language toolkit
AK McCallum
http://mallet. cs. umass. edu, 2002
An introduction to conditional random fields for relational learning
C Sutton, A McCallum
Introduction to statistical relational learning 2, 93-128, 2006
An introduction to conditional random fields for relational learning
C Sutton, A McCallum
Introduction to statistical relational learning 2, 93-128, 2006
Maximum entropy Markov models for information extraction and segmentation.
A McCallum, D Freitag, FCN Pereira
Icml 17 (2000), 591-598, 2000
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
Topics over time: a non-markov continuous-time model of topical trends
X Wang, A McCallum
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
A McCallum, W Li
Efficient clustering of high-dimensional data sets with application to reference matching
A McCallum, K Nigam, LH Ungar
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
Optimizing semantic coherence in topic models
D Mimno, H Wallach, E Talley, M Leenders, A McCallum
Proceedings of the 2011 conference on empirical methods in natural language …, 2011
Toward optimal active learning through monte carlo estimation of error reduction
N Roy, A McCallum
ICML, Williamstown 2, 441-448, 2001
Using maximum entropy for text classification
K Nigam, J Lafferty, A McCallum
IJCAI-99 workshop on machine learning for information filtering 1 (1), 61-67, 1999
Employing EM and pool-based active learning for text classification
AK McCallumzy, K Nigamy
Proc. International Conference on Machine Learning (ICML), 359-367, 1998
Distributional clustering of words for text classification
LD Baker, AK McCallum
Proceedings of the 21st annual international ACM SIGIR conference on …, 1998
Learning to extract symbolic knowledge from the World Wide Web
M Craven, A McCallum, D PiPasquo, T Mitchell, D Freitag
Carnegie-mellon univ pittsburgh pa school of computer Science, 1998
Modeling relations and their mentions without labeled text
S Riedel, L Yao, A McCallum
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering
AK McCallum
CMU: Pittsburgh, PA, 1996
Automating the construction of internet portals with machine learning
AK McCallum, K Nigam, J Rennie, K Seymore
Information Retrieval 3 (2), 127-163, 2000
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Artikkelit 1–20