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Christopher Meek
- > Home > Persons > Christopher Meek
Publications
- 2019
- [i30]David Heckerman, Christopher Meek:
Embedded Bayesian Network Classifiers. CoRR abs/1910.09715 (2019) - 2014
- [j15]David Heckerman, Christopher Meek, Thomas S. Richardson:
Variations on undirected graphical models and their relationships. Kybernetika 50(3): 363-377 (2014) - 2013
- [i22]Carl Myers Kadie, Christopher Meek, David Heckerman:
CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence. CoRR abs/1301.0575 (2013) - [i21]Christopher Meek, Bo Thiesson, David Heckerman:
Staged Mixture Modelling and Boosting. CoRR abs/1301.0586 (2013) - [i18]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Collaborative Filtering and Data Visualization. CoRR abs/1301.3862 (2013) - [i14]Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman:
Learning Mixtures of DAG Models. CoRR abs/1301.7415 (2013) - [i13]David Maxwell Chickering, David Heckerman, Christopher Meek:
A Bayesian Approach to Learning Bayesian Networks with Local Structure. CoRR abs/1302.1528 (2013) - [i12]David Heckerman, Christopher Meek:
Models and Selection Criteria for Regression and Classification. CoRR abs/1302.1545 (2013) - [i11]Christopher Meek, David Heckerman:
Structure and Parameter Learning for Causal Independence and Causal Interaction Models. CoRR abs/1302.1561 (2013) - [i10]Dan Geiger, David Heckerman, Christopher Meek:
Asymptotic Model Selection for Directed Networks with Hidden Variables. CoRR abs/1302.3580 (2013) - 2012
- [i5]Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek:
ARMA Time-Series Modeling with Graphical Models. CoRR abs/1207.4162 (2012) - [i4]David Maxwell Chickering, Christopher Meek, David Heckerman:
Large-Sample Learning of Bayesian Networks is NP-Hard. CoRR abs/1212.2468 (2012) - 2005
- [c32]Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman:
Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS 2005: 587-594 - 2004
- [j7]David Maxwell Chickering, David Heckerman, Christopher Meek:
Large-Sample Learning of Bayesian Networks is NP-Hard. J. Mach. Learn. Res. 5: 1287-1330 (2004) - [c31]Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman:
Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 161-168 - [c29]Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek:
ARMA Time-Series Modeling with Graphical Models. UAI 2004: 552-560 - 2003
- [j6]Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White:
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Min. Knowl. Discov. 7(4): 399-424 (2003) - [c27]David Maxwell Chickering, Christopher Meek, David Heckerman:
Large-Sample Learning of Bayesian Networks is NP-Hard. UAI 2003: 124-133 - 2002
- [j5]Christopher Meek, Bo Thiesson, David Heckerman:
The Learning-Curve Sampling Method Applied to Model-Based Clustering. J. Mach. Learn. Res. 2: 397-418 (2002) - [c25]Christopher Meek, David Maxwell Chickering, David Heckerman:
Autoregressive Tree Models for Time-Series Analysis. SDM 2002: 229-244 - [c22]Carl Myers Kadie, Christopher Meek, David Heckerman:
CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. UAI 2002: 242-250 - [c21]Christopher Meek, Bo Thiesson, David Heckerman:
Staged Mixture Modelling and Boosting. UAI 2002: 335-343 - 2001
- [j3]Bo Thiesson, Christopher Meek, David Heckerman:
Accelerating EM for Large Databases. Mach. Learn. 45(3): 279-299 (2001) - [c19]Christopher Meek, Bo Thiesson, David Heckerman:
The Learning Curve Method Applied to Clustering. AISTATS 2001 - 2000
- [j2]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. J. Mach. Learn. Res. 1: 49-75 (2000) - [c14]Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White:
Visualization of navigation patterns on a Web site using model-based clustering. KDD 2000: 280-284 - [c12]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Collaborative Filtering and Data Visualization. UAI 2000: 264-273 - 1999
- [c11]Dan Geiger, David Heckerman, Henry King, Christopher Meek:
On the geometry of DAG models with hidden variables. AISTATS 1999 - 1998
- [c9]Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman:
Learning Mixtures of DAG Models. UAI 1998: 504-513 - [p1]Dan Geiger, David Heckerman, Christopher Meek:
Asymptotic Model Selection for Directed Networks with Hidden Variables. Learning in Graphical Models 1998: 461-477 - 1997
- [c8]David Maxwell Chickering, David Heckerman, Christopher Meek:
A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI 1997: 80-89 - [c7]David Heckerman, Christopher Meek:
Models and Selection Criteria for Regression and Classification. UAI 1997: 223-228 - [c6]Christopher Meek, David Heckerman:
Structure and Parameter Learning for Causal Independence and Causal Interaction Models. UAI 1997: 366-375 - 1996
- [c5]Dan Geiger, David Heckerman, Christopher Meek:
Asymptotic Model Selection for Directed Networks with Hidden Variables. UAI 1996: 283-290
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