 | 2011 |
| 24 |  | Sooraj KuttyKrishnan,
Jeffrey Sabina,
Laura Langton,
Mark Johnston,
Michael R. Brent:
A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription.
RECOMB 2011: 153 |
| 2009 |
| 23 |  | Minmin Chen,
Yixin Chen,
Michael R. Brent,
Aaron E. Tenney:
Gradient-Based Feature Selection for Conditional Random Fields and its Applications in Computational Genetics.
ICTAI 2009: 750-757 |
| 22 |  | Minmin Chen,
Yixin Chen,
Michael R. Brent,
Aaron E. Tenney:
Constrained optimization for validation-guided conditional random field learning.
KDD 2009: 189-198 |
| 21 |  | David V. Lu,
Randall H. Brown,
Manimozhiyan Arumugam,
Michael R. Brent:
Pairagon: a highly accurate, HMM-based cDNA-to-genome aligner.
Bioinformatics 25(13): 1587-1593 (2009) |
| 20 |  | Brian C. Haynes,
Michael R. Brent:
Benchmarking regulatory network reconstruction with GRENDEL.
Bioinformatics 25(6): 801-807 (2009) |
| 2008 |
| 19 |  | Minmin Chen,
Yixin Chen,
Michael R. Brent:
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver.
AAAI 2008: 1018-1023 |
| 2007 |
| 18 |  | Evan Keibler,
Manimozhiyan Arumugam,
Michael R. Brent:
The Treeterbi and Parallel Treeterbi algorithms: efficient, optimal decoding for ordinary, generalized and pair HMMs.
Bioinformatics 23(5): 545-554 (2007) |
| 2006 |
| 17 |  | Chaochun Wei,
Michael R. Brent:
Using ESTs to improve the accuracy of de novo gene prediction.
BMC Bioinformatics 7: 327 (2006) |
| 16 |  | Samuel S. Gross,
Michael R. Brent:
Using Multiple Alignments to Improve Gene Prediction.
Journal of Computational Biology 13(2): 379-393 (2006) |
| 2005 |
| 15 |  | Samuel S. Gross,
Michael R. Brent:
Using Multiple Alignments to Improve Gene Prediction.
RECOMB 2005: 374-388 |
| 14 |  | Eduardo Eyras,
Alexandre Reymond,
Robert Castelo,
Jacqueline M. Bye,
Francisco Camara,
Paul Flicek,
Elizabeth J. Huckle,
Genis Parra,
David D. Shteynberg,
Carine Wyss,
Jane Rogers,
Stylianos E. Antonarakis,
Ewan Birney,
Roderic Guigó,
Michael R. Brent:
Gene finding in the chicken genome.
BMC Bioinformatics 6: 131 (2005) |
| 2003 |
| 13 |  | Evan Keibler,
Michael R. Brent:
Eval: A software package for analysis of genome annotations.
BMC Bioinformatics 4: 50 (2003) |
| 2002 |
| 12 |  | Matthew G. Snover,
Michael R. Brent:
A Probabilistic Model for Learning Concatenative Morphology.
NIPS 2002: 1513-1520 |
| 2001 |
| 11 |  | Matthew G. Snover,
Michael R. Brent:
A Bayesian Model for Morpheme and Paradigm Identification.
ACL 2001: 482-490 |
| 10 |  | Michael R. Brent,
Xiaopeng Tao:
Chinese Text Segmentation With MBDP-1: Making the Most of Training Corpora.
ACL 2001: 82-89 |
| 9 |  | Ian Korf,
Paul Flicek,
Daniel Duan,
Michael R. Brent:
Integrating genomic homology into gene structure prediction.
ISMB (Supplement of Bioinformatics) 2001: 140-148 |
| 1999 |
| 8 |  | Michael R. Brent:
An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery
CoRR cs.CL/9905007: (1999) |
| 7 |  | Michael R. Brent:
An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery.
Machine Learning 34(1-3): 71-105 (1999) |
| 1996 |
| 6 |  | Michael R. Brent,
Timothy A. Cartwright:
Lexical categorization: fitting template grammars by incremental MDL optimization.
ICGI 1996: 84-94 |
| 1993 |
| 5 |  | Michael R. Brent:
From Grammar to Lexicon: Unsupervised Learning of Lexical Syntax.
Computational Linguistics 19(2): 243-262 (1993) |
| 1991 |
| 4 |  | Michael R. Brent:
Automatic Acquisition of Subcategorization Frames from Untagged Text.
ACL 1991: 209-214 |
| 3 |  | Michael R. Brent:
Automatic Semantic Classification Of Verbs From Their Syntactic Contexts: An Implemented Classifier For Stativity.
EACL 1991: 222-226 |
| 2 |  | Michael R. Brent,
Robert C. Berwick:
Automatic Acquisition of Subcategorization Frames from Tagged Text.
HLT 1991 |
| 1990 |
| 1 |  | Michael R. Brent:
A Simplified Theory of Tense Representations and Constraints on their Composition.
ACL 1990: 119-126 |