| 2011 |
|---|
| 125 | Statistical Topic Models for Multi-Label Document Classification. Timothy N. Rubin, America Chambers, Padhraic Smyth, Mark Steyvers. CoRR (abs/1107.2462) (2011). Web SearchBibTeXDownload |
| 124 | Dynamic Egocentric Models for Citation Networks. Duy Vu, Arthur U. Asuncion, David Hunter, Padhraic Smyth. ICML 2011, 857-864. Web SearchBibTeX |
| 123 | Latent Set Models for Two-Mode Network Data. Christopher DuBois, James R. Foulds, Padhraic Smyth. ICWSM 2011. Web SearchBibTeXDownload |
| 122 | A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. James R. Foulds, Christopher DuBois, Arthur U. Asuncion, Carter T. Butts, Padhraic Smyth. Journal of Machine Learning Research - Proceedings Track (15): 287-295 (2011). Web SearchBibTeXDownload |
| 121 | Revisiting MAP Estimation, Message Passing and Perfect Graphs. James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander T. Ihler. Journal of Machine Learning Research - Proceedings Track (15): 278-286 (2011). Web SearchBibTeXDownload |
| 120 | Multi-Instance Mixture Models. James R. Foulds, Padhraic Smyth. SDM 2011, 606-617. Web SearchBibTeXDownload |
| 2010 |
|---|
| 119 | Learning author-topic models from text corpora. Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L. Griffiths, Padhraic Smyth, Mark Steyvers. ACM Trans. Inf. Syst. (28) (2010). Web SearchBibTeXDownload |
| 118 | Estimating replicate time shifts using Gaussian process regression. Qiang Liu, Kevin K. Lin, Bogi Andersen, Padhraic Smyth, Alexander T. Ihler. Bioinformatics (26): 770-776 (2010). Web SearchBibTeXDownload |
| 117 | Technical perspective - Creativity helps influence prediction precision. Padhraic Smyth, Charles Elkan. Commun. ACM (53): 88 (2010). Web SearchBibTeXDownload |
| 116 | Particle Filtered MCMC-MLE with Connections to Contrastive Divergence. Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth. ICML 2010, 47-54. Web SearchBibTeXDownload |
| 115 | A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data. Seyoung Kim, Padhraic Smyth, Hal S. Stern. IEEE Trans. Med. Imaging (29): 1260-1274 (2010). Web SearchBibTeXDownload |
| 114 | Learning with Blocks: Composite Likelihood and Contrastive Divergence. Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth. Journal of Machine Learning Research - Proceedings Track (9): 33-40 (2010). Web SearchBibTeXDownload |
| 113 | Modeling relational events via latent classes. Christopher DuBois, Padhraic Smyth. KDD 2010, 803-812. Web SearchBibTeXDownload |
| 112 | Learning concept graphs from text with stick-breaking priors. America Chambers, Padhraic Smyth, Mark Steyvers. NIPS 2010, 334-342. Web SearchBibTeXDownload |
| 2009 |
|---|
| 111 | Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. Darya Chudova, Alexander T. Ihler, Kevin K. Lin, Bogi Andersen, Padhraic Smyth. Bioinformatics (25): 3114-3120 (2009). Web SearchBibTeXDownload |
| 110 | Distributed Algorithms for Topic Models. David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling. Journal of Machine Learning Research (10): 1801-1828 (2009). Web SearchBibTeXDownload |
| 109 | Particle-based Variational Inference for Continuous Systems. Alexander T. Ihler, Andrew J. Frank, Padhraic Smyth. NIPS 2009, 826-834. Web SearchBibTeXDownload |
| 108 | On Smoothing and Inference for Topic Models. Arthur U. Asuncion, Max Welling, Padhraic Smyth, Yee Whye Teh. UAI 2009, 27-34. Web SearchBibTeXDownload |
| 2008 |
|---|
| 107 | Combining concept hierarchies and statistical topic models. Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers. CIKM 2008, 1469-1470. Web SearchBibTeXDownload |
| 106 | Text Modeling using Unsupervised Topic Models and Concept Hierarchies. Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers. CoRR (abs/0808.0973) (2008). Web SearchBibTeXDownload |
| 105 | Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning. Chaitanya Chemudugunta, America Holloway, Padhraic Smyth, Mark Steyvers. International Semantic Web Conference 2008, 229-244. Web SearchBibTeXDownload |
| 104 | Fast collapsed gibbs sampling for latent dirichlet allocation. Ian Porteous, David Newman, Alexander T. Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling. KDD 2008, 569-577. Web SearchBibTeXDownload |
| 103 | Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set. Jon Hutchins, Alexander T. Ihler, Padhraic Smyth. KDD Workshop on Knowledge Discovery from Sensor Data 2008, 94-114. Web SearchBibTeXDownload |
| 102 | Asynchronous Distributed Learning of Topic Models. Arthur U. Asuncion, Padhraic Smyth, Max Welling. NIPS 2008, 81-88. Web SearchBibTeXDownload |
| 2007 |
|---|
| 101 | Infinite mixtures of trees. Sergey Kirshner, Padhraic Smyth. ICML 2007, 417-423. Web SearchBibTeXDownload |
| 100 | Subject metadata enrichment using statistical topic models. David Newman, Kat Hagedorn, Chaitanya Chemudugunta, Padhraic Smyth. JCDL 2007, 366-375. Web SearchBibTeXDownload |
| 99 | Distributed Inference for Latent Dirichlet Allocation. David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling. NIPS 2007. Web SearchBibTeXDownload |
| 98 | KDD Cup and workshop 2007. James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk. SIGKDD Explorations (9): 51-52 (2007). Cited by 7Web SearchBibTeXDownload |
| 97 | Learning to detect events with Markov-modulated poisson processes. Alexander T. Ihler, Jon Hutchins, Padhraic Smyth. TKDD (1) (2007). Web SearchBibTeXDownload |
| 2006 |
|---|
| 96 | Data-Driven Discovery Using Probabilistic Hidden Variable Models. Padhraic Smyth. ALT 2006, 28. Web SearchBibTeXDownload |
| 95 | Analyzing Entities and Topics in News Articles Using Statistical Topic Models. David Newman, Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers. ISI 2006, 93-104. Web SearchBibTeXDownload |
| 94 | Segmental Hidden Markov Models with Random Effects for Waveform Modeling. Seyoung Kim, Padhraic Smyth. Journal of Machine Learning Research (7): 945-969 (2006). Web SearchBibTeXDownload |
| 93 | Adaptive event detection with time-varying poisson processes. Alexander T. Ihler, Jon Hutchins, Padhraic Smyth. KDD 2006, 207-216. Web SearchBibTeXDownload |
| 92 | Statistical entity-topic models. David Newman, Chaitanya Chemudugunta, Padhraic Smyth. KDD 2006, 680-686. Web SearchBibTeXDownload |
| 91 | A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data. Seyoung Kim, Padhraic Smyth, Hal Stern. MICCAI (2) 2006, 217-224. Web SearchBibTeXDownload |
| 90 | Imaging phenotypes and genotypes in schizophrenia. Jessica A. Turner, Padhraic Smyth, Fabio Macciardi, James H. Fallon, James L. Kennedy, Steven G. Potkin. Neuroinformatics (4): 21-49 (2006). Web SearchBibTeXDownload |
| 89 | Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models. Alexander T. Ihler, Padhraic Smyth. NIPS 2006, 625-632. Web SearchBibTeXDownload |
| 88 | Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model. Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers. NIPS 2006, 241-248. Web SearchBibTeXDownload |
| 87 | Hierarchical Dirichlet Processes with Random Effects. Seyoung Kim, Padhraic Smyth. NIPS 2006, 697-704. Web SearchBibTeXDownload |
| 86 | Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. Ian Porteous, Alex Ihter, Padhraic Smyth, Max Welling. UAI 2006. Web SearchBibTeXDownload |
| 2005 |
|---|
| 85 | Parametric Response Surface Models for Analysis of Multi-site fMRI Data. Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica Turner. MICCAI 2005, 352-359. Web SearchBibTeXDownload |
| 84 | A Spectral Clustering Approach To Finding Communities in Graph. Scott White, Padhraic Smyth. SDM 2005. Web SearchBibTeX |
| 83 | Prediction and ranking algorithms for event-based network data. Joshua O'Madadhain, Jon Hutchins, Padhraic Smyth. SIGKDD Explorations (7): 23-30 (2005). Web SearchBibTeXDownload |
| 2004 |
|---|
| 82 | Probabilistic author-topic models for information discovery. Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas L. Griffiths. KDD 2004, 306-315. Web SearchBibTeXDownload |
| 81 | Joint Probabilistic Curve Clustering and Alignment. Scott Gaffney, Padhraic Smyth. NIPS 2004. Web SearchBibTeXDownload |
| 80 | The Author-Topic Model for Authors and Documents. Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth. UAI 2004, 487-494. Web SearchBibTeXDownload |
| 79 | Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series. Sergey Kirshner, Padhraic Smyth, Andrew Robertson. UAI 2004, 317-314. Web SearchBibTeXDownload |
| 78 | Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models. Seyoung Kim, Padhraic Smyth, Stefan Luther. UAI 2004, 309-316. Web SearchBibTeXDownload |
| 2003 |
|---|
| 77 | Analysis of Pattern Discovery in Sequences Using a Bayes Error Framework. Darya Chudova, Padhraic Smyth. Data Min. Knowl. Discov. (7): 273-299 (2003). Web SearchBibTeXDownload |
| 76 | Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White. Data Min. Knowl. Discov. (7): 399-424 (2003). Web SearchBibTeXDownload |
| 75 | Unsupervised Learning with Permuted Data. Sergey Kirshner, Sridevi Parise, Padhraic Smyth. ICML 2003, 345-352. Web SearchBibTeX |
| 74 | Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data. Dmitry Pavlov, Heikki Mannila, Padhraic Smyth. IEEE Trans. Knowl. Data Eng. (15): 1409-1421 (2003). Cited by 57Web SearchBibTeXDownload |
| 73 | Translation-invariant mixture models for curve clustering. Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth. KDD 2003, 79-88. Web SearchBibTeXDownload |
| 72 | Algorithms for estimating relative importance in networks. Scott White, Padhraic Smyth. KDD 2003, 266-275. Web SearchBibTeXDownload |
| 71 | Gene Expression Clustering with Functional Mixture Models. Darya Chudova, Christopher Hart, Eric Mjolsness, Padhraic Smyth. NIPS 2003. Web SearchBibTeXDownload |
| 70 | Approximate Query Answering by Model Averaging. Dmitry Pavlov, Padhraic Smyth. SDM 2003. Web SearchBibTeXDownload |
| 69 | Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves. Darya Chudova, Scott Gaffney, Padhraic Smyth. UAI 2003, 134-141. Web SearchBibTeXDownload |
| 2002 |
|---|
| 68 | Business applications of data mining. Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth. Commun. ACM (45): 49-53 (2002). Cited by 70Web SearchBibTeXDownload |
| 67 | Data-driven evolution of data mining algorithms. Padhraic Smyth, Daryl Pregibon, Christos Faloutsos. Commun. ACM (45): 33-37 (2002). Cited by 20Web SearchBibTeXDownload |
| 66 | Learning with Mixture Models: Concepts and Applications. Padhraic Smyth. ECML 2002, 529. Web SearchBibTeXDownload |
| 65 | Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz. ICPR (2) 2002, 499-502. Web SearchBibTeXDownload |
| 64 | Pattern discovery in sequences under a Markov assumption. Darya Chudova, Padhraic Smyth. KDD 2002, 153-162. Web SearchBibTeXDownload |
| 63 | Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data. Igor V. Cadez, Padhraic Smyth, Geoffrey J. McLachlan, Christine E. McLaren. Machine Learning (47): 7-34 (2002). Web SearchBibTeXDownload |
| 62 | Learning to Classify Galaxy Shapes Using the EM Algorithm. Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath. NIPS 2002, 1497-1504. Web SearchBibTeXDownload |
| 2001 |
|---|
| 61 | Breaking out of the Black-Box: Research Challenges in Data Mining. Padhraic Smyth. DMKD 2001. Web SearchBibTeXDownload |
| 60 | The distribution of loop lengths in graphical models for turbo decoding. Xianping Ge, David Eppstein, Padhraic Smyth. IEEE Transactions on Information Theory (47): 2549-2553 (2001). Web SearchBibTeXDownload |
| 59 | Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction. Igor V. Cadez, Padhraic Smyth, Heikki Mannila. KDD 2001, 37-46. Cited by 31Web SearchBibTeXDownload |
| 58 | Probabilistic query models for transaction data. Dmitry Pavlov, Padhraic Smyth. KDD 2001, 164-173. Web SearchBibTeXDownload |
| 57 | Bayesian Predictive Profiles With Applications to Retail Transaction Data. Igor V. Cadez, Padhraic Smyth. NIPS 2001, 1353-1360. Web SearchBibTeXDownload |
| 2000 |
|---|
| 56 | Approximate Query Answering with Frequent Sets and Maximum Entropy. Heikki Mannila, Padhraic Smyth. ICDE 2000, 309. Cited by 3Web SearchBibTeXDownload |
| 55 | A general probabilistic framework for clustering individuals and objects. Igor V. Cadez, Scott Gaffney, Padhraic Smyth. KDD 2000, 140-149. Web SearchBibTeXDownload |
| 54 | Deformable Markov model templates for time-series pattern matching. Xianping Ge, Padhraic Smyth. KDD 2000, 81-90. Web SearchBibTeXDownload |
| 53 | Towards scalable support vector machines using squashing. Dmitry Pavlov, Darya Chudova, Padhraic Smyth. KDD 2000, 295-299. Web SearchBibTeXDownload |
| 52 | Visualization of navigation patterns on a Web site using model-based clustering. Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White. KDD 2000, 280-284. Web SearchBibTeXDownload |
| 51 | Model Complexity, Goodness of Fit and Diminishing Returns. Igor V. Cadez, Padhraic Smyth. NIPS 2000, 388-394. Web SearchBibTeX |
| 50 | The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth. SIGKDD Explorations (2): 81-85 (2000). Web SearchBibTeXDownload |
| 49 | Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets. Dmitry Pavlov, Heikki Mannila, Padhraic Smyth. UAI 2000, 465-472. Cited by 19Web SearchBibTeXDownload |
| 1999 |
|---|
| 48 | The Distribution of Cycle Lengths in Graphical Models for Iterative Decoding. Xianping Ge, David Eppstein, Padhraic Smyth. CoRR (cs.DM/9907002) (1999). Web SearchBibTeXDownload |
| 47 | Hierarchical Models for Screening of Iron Deficiency Anemia. Igor V. Cadez, Christine E. McLaren, Padhraic Smyth, Geoffrey J. McLachlan. ICML 1999, 77-86. Web SearchBibTeX |
| 46 | Prediction with Local Patterns using Cross-Entropy. Heikki Mannila, Dmitry Pavlov, Padhraic Smyth. KDD 1999, 357-361. Cited by 27Web SearchBibTeXDownload |
| 45 | Trajectory Clustering with Mixtures of Regression Models. Scott Gaffney, Padhraic Smyth. KDD 1999, 63-72. Web SearchBibTeXDownload |
| 44 | Linearly Combining Density Estimators via Stacking. Padhraic Smyth, David Wolpert. Machine Learning (36): 59-83 (1999). Web SearchBibTeXDownload |
| 43 | Discovering Chinese Words from Unsegmented Text (poster abstract). Xianping Ge, Wanda Pratt, Padhraic Smyth. SIGIR 1999, 271-272. Web SearchBibTeXDownload |
| 1998 |
|---|
| 42 | Rule Discovery from Time Series. Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth. KDD 1998, 16-22. Cited by 416Web SearchBibTeX |
| 41 | Learning to Recognize Volcanoes on Venus. Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele. Machine Learning (30): 165-194 (1998). Web SearchBibTeXDownload |
| 1997 |
|---|
| 40 | Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods. William Rodman Shankle, Subramani Mani, Michael J. Pazzani, Padhraic Smyth. AIME 1997, 73-85. Web SearchBibTeXDownload |
| 39 | Statistical Themes and Lessons for Data Mining. Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth. Data Min. Knowl. Discov. (1): 11-28 (1997). Web SearchBibTeXDownload |
| 38 | A Probabilistic Approach to Fast Pattern Matching in Time Series Databases. Eamonn J. Keogh, Padhraic Smyth. KDD 1997, 24-30. Cited by 189Web SearchBibTeX |
| 37 | Anytime Exploratory Data Analysis for Massive Data Sets. Padhraic Smyth, David Wolpert. KDD 1997, 54-60. Web SearchBibTeX |
| 36 | Detecting Atmospheric Regimes Using Cross-Validated Clustering. Padhraic Smyth, Michael Ghil, Kayo Ide, Joseph Roden, Andrew Fraser. KDD 1997, 61-66. Web SearchBibTeX |
| 35 | Learning with Probabilistic Representations. Pat Langley, Gregory M. Provan, Padhraic Smyth. Machine Learning (29): 91-101 (1997). Web SearchBibTeXDownload |
| 34 | Probabilistic Independence Networks for Hidden Markov Probability Models. Padhraic Smyth, David Heckerman, Michael I. Jordan. Neural Computation (9): 227-269 (1997). Web SearchBibTeXDownload |
| 33 | Stacked Density Estimation. Padhraic Smyth, David Wolpert. NIPS 1997. Web SearchBibTeX |
| 32 | Belief networks, hidden Markov models, and Markov random fields: A unifying view. Padhraic Smyth. Pattern Recognition Letters (18): 1261-1268 (1997). Web SearchBibTeXDownload |
| 1996 |
|---|
| 31 | From Data Mining to Knowledge Discovery: An Overview. Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth. Advances in Knowledge Discovery and Data Mining 1996, 1-34. Web SearchBibTeX |
| 30 | Modeling Subjective Uncertainty in Image Annotation. Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona. Advances in Knowledge Discovery and Data Mining 1996, 517-539. Web SearchBibTeX |
| 29 | From Data Mining to Knowledge Discovery in Databases. Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth. AI Magazine (17): 37-54 (1996). Web SearchBibTeXDownload |
| 28 | Statistical Inference and Data Mining. Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth. Commun. ACM (39): 35-41 (1996). Web SearchBibTeXDownload |
| 27 | The KDD Process for Extracting Useful Knowledge from Volumes of Data. Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth. Commun. ACM (39): 27-34 (1996). Web SearchBibTeXDownload |
| 26 | Clustering Using Monte Carlo Cross-Validation. Padhraic Smyth. KDD 1996, 126-133. Web SearchBibTeX |
| 25 | Knowledge Discovery and Data Mining: Towards a Unifying Framework. Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth. KDD 1996, 82-88. Web SearchBibTeX |
| 24 | Clustering Sequences with Hidden Markov Models. Padhraic Smyth. NIPS 1996, 648-654. Web SearchBibTeXDownload |
| 23 | Bounds on the mean classification error rate of multiple experts. Padhraic Smyth. Pattern Recognition Letters (17): 1253-1257 (1996). Web SearchBibTeXDownload |
| 1995 |
|---|
| 22 | Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad. ICML 1995, 506-514. Web SearchBibTeX |
| 21 | Automated Analysis and Exploration of Image Databases: Results, Progress, and Challenges. Usama M. Fayyad, Padhraic Smyth, Nicholas Weir, S. George Djorgovski. J. Intell. Inf. Syst. (4): 7-25 (1995). Web SearchBibTeXDownload |
| 1994 |
|---|
| 20 | KDD-93: Progress and Challenges in Knowledge Discovery in Databases. Gregory Piatetsky-Shapiro, Christopher J. Matheus, Padhraic Smyth, Ramasamy Uthurusamy. AI Magazine (15): 77-82 (1994). Web SearchBibTeXDownload |
| 19 | The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach. Usama M. Fayyad, Padhraic Smyth. DL 1994, 225-249. Web SearchBibTeX |
| 18 | Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth. ICIP (3) 1994, 236-240. Web SearchBibTeX |
| 17 | Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona. KDD Workshop 1994, 109-120. Web SearchBibTeX |
| 16 | Inferring Ground Truth from Subjective Labelling of Venus Images. Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi. NIPS 1994, 1085-1092. Web SearchBibTeXDownload |
| 15 | Hidden Markov models for fault detection in dynamic system. Padhraic Smyth. Pattern Recognition (27): 149-164 (1994). Web SearchBibTeXDownload |
| 1993 |
|---|
| 14 | On loss functions which minimize to conditional expected values and posterior proba- bilities. John W. Miller, Rodney M. Goodman, Padhraic Smyth. IEEE Transactions on Information Theory (39): 1404-1408 (1993). Web SearchBibTeXDownload |
| 13 | Learning Finite State Machines With Self-Clustering Recurrent Networks. Zheng Zeng, Rodney M. Goodman, Padhraic Smyth. Neural Computation (5): 976-990 (1993). Web SearchBibTeXDownload |
| 12 | Probabilistic Anomaly Detection in Dynamic Systems. Padhraic Smyth. NIPS 1993, 825-832. Web SearchBibTeXDownload |
| 1992 |
|---|
| 11 | An Information Theoretic Approach to Rule Induction from Databases. Padhraic Smyth, Rodney M. Goodman. IEEE Trans. Knowl. Data Eng. (4): 301-316 (1992). Web SearchBibTeXDownload |
| 10 | Detecting Novel Classes with Applications to Fault Diagnosis. Padhraic Smyth, Jeff Mellstrom. ML 1992, 416-425. Web SearchBibTeX |
| 9 | Rule-Based Neural Networks for Classification and Probability Estimation. Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth. Neural Computation (4): 781-804 (1992). Web SearchBibTeXDownload |
| 1991 |
|---|
| 8 | Rule Induction Using Information Theory. Padhraic Smyth, Rodney M. Goodman. Knowledge Discovery in Databases 1991, 159-176. Web SearchBibTeX |
| 7 | Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models. Padhraic Smyth, Jeff Mellstrom. NIPS 1991, 667-674. Web SearchBibTeXDownload |
| 1990 |
|---|
| 6 | A Hybrid Rule-Based/Bayesian Classifier. Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins. ECAI 1990, 610-615. Web SearchBibTeX |
| 5 | On Stochastic Complexity and Admissible Models for Neural Network Classifiers. Padhraic Smyth. NIPS 1990, 818-824. Web SearchBibTeXDownload |
| 1989 |
|---|
| 4 | The Induction of Probabilistic Rule Sets - The Itrule Algorithm. Rodney M. Goodman, Padhraic Smyth. ML 1989, 129-132. Web SearchBibTeX |
| 1988 |
|---|
| 3 | Information-Theoretic Rule Induction. Rodney M. Goodman, Padhraic Smyth. ECAI 1988, 357-362. Web SearchBibTeX |
| 2 | Decision tree design from a communication theory standpoint. Rodney M. Goodman, Padhraic Smyth. IEEE Transactions on Information Theory (34): 979-994 (1988). Web SearchBibTeXDownload |
| 1 | An Information Theoretic Approach to Rule-Based Connectionist Expert Systems. Rodney M. Goodman, John W. Miller, Padhraic Smyth. NIPS 1988, 256-263. Web SearchBibTeXDownload |
