 | 2011 |
| 12 |  | Scott Vanderbeck,
Joseph Bockhorst,
Chad Oldfather:
A Machine Learning Approach to Identifying Sections in Legal Briefs.
MAICS 2011: 16-22 |
| 2010 |
| 11 |  | Chris Barber,
Joseph Bockhorst,
Paul Roebber:
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting.
NIPS 2010: 136-144 |
| 2007 |
| 10 |  | Yue Pan,
Tim Durfee,
Joseph Bockhorst,
Mark Craven:
Connecting quantitative regulatory-network models to the genome.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 367-376 |
| 9 |  | Joseph Bockhorst,
Nebojsa Jojic:
Discovering Patterns in Biological Sequences by Optimal Segmentation.
UAI 2007: 17-24 |
| 2004 |
| 8 |  | Joseph Bockhorst,
Irene M. Ong:
FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets.
ILP 2004: 63-79 |
| 7 |  | Joseph Bockhorst,
Mark Craven:
Markov Networks for Detecting Overalpping Elements in Sequence Data.
NIPS 2004 |
| 2003 |
| 6 |  | Joseph Bockhorst,
Yu Qiu,
Jeremy D. Glasner,
Mingzhu Liu,
Frederick R. Blattner,
Mark Craven:
Predicting bacterial transcription units using sequence and expression data.
ISMB (Supplement of Bioinformatics) 2003: 34-43 |
| 5 |  | Joseph Bockhorst,
Mark Craven,
David Page,
Jude W. Shavlik,
Jeremy D. Glasner:
A Bayesian Network Approach to Operon Prediction.
Bioinformatics 19(10): 1227-1235 (2003) |
| 2002 |
| 4 |  | Joseph Bockhorst,
Mark Craven:
Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data.
ICML 2002: 43-50 |
| 2001 |
| 3 |  | Joseph Bockhorst,
Mark Craven:
Refining the Structure of a Stochastic Context-Free Grammar.
IJCAI 2001: 1315-1322 |
| 2000 |
| 2 |  | Mark Craven,
David Page,
Jude W. Shavlik,
Joseph Bockhorst,
Jeremy D. Glasner:
Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes.
ICML 2000: 199-206 |
| 1 |  | Mark Craven,
David Page,
Jude W. Shavlik,
Joseph Bockhorst,
Jeremy D. Glasner:
A Probabilistic Learning Approach to Whole-Genome Operon Prediction.
ISMB 2000: 116-127 |