Joseph Bockhorst - researchr alias

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Viewing Publication 1 - 16 from 16

2020

Designing and deploying insurance recommender systems using machine learningMaleeha Qazi, Kaya Tollas, Teja Kanchinadam, Joseph Bockhorst, Glenn Fung. widm, 10(4), 2020. [doi]

2019

Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational InterfacesJoseph Bockhorst, Devin Conathan, Glenn M. Fung. AAAI 2019: 9422-9427 [doi]

2018

Using Discriminative Graphical Models for Insurance Recommender SystemsTeja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Y. Morell, Katie J. Meissner, Glenn Fung. icmla 2018: 421-428 [doi]

2017

Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call CenterJoseph Bockhorst, Shi Yu, Luisa Polania, Glenn Fung. pkdd 2017: 179-190 [doi]

2011

A Machine Learning Approach to Identifying Sections in Legal BriefsScott Vanderbeck, Joseph Bockhorst, Chad Oldfather. maics 2011: 16-22 [doi]

2010

Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind ForecastingChris Barber, Joseph Bockhorst, Paul Roebber. nips 2010: 136-144 [doi]

2007

Discovering Patterns in Biological Sequences by Optimal SegmentationJoseph Bockhorst, Nebojsa Jojic. uai 2007: 17-24 [doi]

Connecting quantitative regulatory-network models to the genomeYue Pan, Tim Durfee, Joseph Bockhorst, Mark Craven. ismb 2007: 367-376 [doi]

2004

FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large DatasetsJoseph Bockhorst, Irene M. Ong. ilp 2004: 63-79 [doi]

Markov Networks for Detecting Overalpping Elements in Sequence DataJoseph Bockhorst, Mark Craven. nips 2004: 193-200 [doi]

2003

A Bayesian Network Approach to Operon PredictionJoseph Bockhorst, Mark Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner. bioinformatics, 19(10):1227-1235, 2003.

Predicting bacterial transcription units using sequence and expression dataJoseph Bockhorst, Yu Qiu, Jeremy D. Glasner, Mingzhu Liu, Frederick R. Blattner, Mark Craven. ismb 2003: 34-43 [doi]

2002

Exploiting Relations Among Concepts to Acquire Weakly Labeled Training DataJoseph Bockhorst, Mark Craven. icml 2002: 43-50

2001

Refining the Structure of a Stochastic Context-Free GrammarJoseph Bockhorst, Mark Craven. IJCAI 2001: 1315-1322

2000

A Probabilistic Learning Approach to Whole-Genome Operon PredictionMark Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner. ismb 2000: 116-127

Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled GenesMark Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner. icml 2000: 199-206

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