- Hierarchical Hidden Markov Models for Information Extraction Marios Skounakis
- Learning Regulatory Network Models that Represent Regulator States and Roles
- Search-based Structured Prediction applied to Biomedical Event Extraction Andreas Vlachos and Mark Craven
- SIRT3 Substrate Specificity Determined by Peptide Arrays and Machine Learning
- Detecting Speculative Language using Syntactic Dependencies and Logistic Regression
- Appears in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). ACL Press, 2008.
- Multiple-Instance Active Learning Burr Settles Mark Craven
- Vol. 23 ECCB 2006, pages e156e162 doi:10.1093/bioinformatics/btl319BIOINFORMATICS
- BioMed Central Page 1 of 10
- BioMed Central Page 1 of 9
- Machine Learning, 43, 97119, 2001 c 2001 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Using Multiple Levels of Learning and Diverse Evidence Sources to Uncover Coordinately Controlled Genes
- EXTRACTING COMPREHENSIBLE MODELS FROM TRAINED NEURAL NETWORKS
- Explaining Effects of Host Gene Knockouts on Brome Mosaic Virus Replication Deborah Chasman1,2
- Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006
- Appears in Proceedings of the NIPS Workshop on Cost-Sensitive Learning. 2008. Active Learning with Real Annotation Costs
- Supervised versus Multiple Instance Learning: An Empirical Comparison
- Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors
- To appear in Proceedings of the 2004 Text Retrieval Conference (TREC). Gaithersburg, MD USA. 2005. Exploiting Zone Information, Syntactic Features, and Informative
- Similarity Queries for Temporal Toxicogenomic Expression Profiles
- Learning Hidden Markov Models for Regression using Path Aggregation
- A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation using First-Order Logic
- FAST MULTISEGMENT ALIGNMENTS FOR TEMPORAL EXPRESSION PROFILES Adam. A. Smith
- Classifying Biomedical Articles by Making Localized Decisions Thomas Brow
- Appears in Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI-2001). Representing Sentence Structure in Hidden Markov Models
- Biological Applications of Multi-Relational Data Mining Dept. of Biostatistics and Medical Informatics
- Constructing Biological Knowledge Bases by Extracting Information from Text Sources
- BIOINFORMATICS Vol. 25 ISMB 2009, pages i119i127
