 | 2007 |
|---|
| 9 |       | Yue Pan,
Tim Durfee,
Joseph Bockhorst,
Mark Craven:
Connecting quantitative regulatory-network models to the genome.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 367-376 |
| 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 |
