Terran Lane - researchr alias

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Viewing Publication 1 - 64 from 64

2015

Transfer learning for Bayesian discovery of multiple Bayesian networksDiane Oyen, Terran Lane. kais, 43(1):1-28, 2015. [doi]

2014

2013

Bayesian Discovery of Multiple Bayesian Networks via Transfer LearningDiane Oyen, Terran Lane. icdm 2013: 577-586 [doi]

2012

Improving malware classification: bridging the static/dynamic gapBlake Anderson, Curtis Storlie, Terran Lane. ccs 2012: 3-14 [doi]

Multiple Kernel Learning Clustering with an Application to MalwareBlake Anderson, Curtis Storlie, Terran Lane. icdm 2012: 804-809 [doi]

TDCS guided using fMRI significantly accelerates learning to identify concealed objectsVincent P. Clark, Brian A. Coffman, Andy R. Mayer, Michael P. Weisend, Terran Lane, Vince D. Calhoun, Elaine M. Raybourn, Christopher M. Garcia, Eric M. Wassermann. neuroimage, 59(1):117-128, 2012. [doi]

Towards a Biomolecular Learning MachineMatthew R. Lakin, Amanda Minnich, Terran Lane, Darko Stefanovic. uc 2012: 152-163 [doi]

Leveraging Domain Knowledge in Multitask Bayesian Network Structure LearningDiane Oyen, Terran Lane. AAAI 2012: 1091-1097 [doi]

Smoothness and Structure Learning by Proxy Benjamin Yackley, Terran Lane. icml 2012: [doi]

2011

Detecting Code Injection Attacks in Internet ExplorerBlake Anderson, Daniel Quist, Terran Lane. compsac 2011: 90-95 [doi]

Graph-based malware detection using dynamic analysisBlake Anderson, Daniel Quist, Joshua Neil, Curtis Storlie, Terran Lane. virology, 7(4):247-258, 2011. [doi]

The Importance of Selective Knowledge Transfer for Lifelong LearningEric Eaton, Terran Lane. AAAI 2011: [doi]

Active learning for node classification in assortative and disassortative networksCristopher Moore, Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, Terran Lane. kdd 2011: 841-849 [doi]

Correlated Noise: How it Breaks NMF, and What to Do About itSergey M. Plis, Vamsi K. Potluru, Terran Lane, Vince D. Calhoun. vlsisp, 65(3):351-359, 2011. [doi]

Effective connectivity analysis of fMRI and MEG data collected under identical paradigmsSergey M. Plis, Michael P. Weisend, Eswar Damaraju, Tom Eichele, Andy R. Mayer, Vincent P. Clark, Terran Lane, Vince D. Calhoun. cbm, 41(12):1156-1165, 2011. [doi]

Directional Statistics on PermutationsSergey M. Plis, Stephen McCracken, Terran Lane, Vince D. Calhoun. jmlr, 15:600-608, 2011. [doi]

A multiple network learning approach to capture system-wide condition-specific responsesSushmita Roy, Margaret Werner-Washburne, Terran Lane. bioinformatics, 27(13):1832-1838, 2011. [doi]

2010

2009

Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian NetworksEva Besada-Portas, Sergey M. Plis, JesÃºs Manuel de la Cruz, Terran Lane. pkdd 2009: 131-146 [doi]

Efficient Multiplicative Updates for Support Vector MachinesVamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane. sdm 2009: 1218-1229 [doi]

A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy PredictionShibin Qiu, Terran Lane. tcbb, 6(2):190-199, 2009. [doi]

Learning structurally consistent undirected probabilistic graphical modelsSushmita Roy, Terran Lane, Margaret Werner-Washburne. icml 2009: 114 [doi]

Inference of Functional Networks of Condition-Specific Response--A Case Study Of Quiescence In YeastSushmita Roy, Terran Lane, Margaret Werner-Washburne, Diego Martinez. psb 2009: 51-62 [doi]

2008

Modeling Transfer Relationships Between Learning Tasks for Improved Inductive TransferEric Eaton, Marie desJardins, Terran Lane. pkdd 2008: 317-332 [doi]

Hybrid ICA-Bayesian network approach reveals distinct effective connectivity differences in schizophreniaD. Kim, John Burge, Terran Lane, Godfrey D. Pearlson, Kent A. Kiehl, Vincent D. Calhoun. neuroimage, 42(4):1560-1568, 2008. [doi]

Multiple Kernel Support Vector Regression for siRNA Efficacy PredictionShibin Qiu, Terran Lane. isbra 2008: 367-378 [doi]

siRNA silencing efficacy prediction using the RNA string kernelShibin Qiu, Terran Lane. ijcbdd, 1(2):103-121, 2008. [doi]

A system for generating transcription regulatory networks with combinatorial control of transcriptionSushmita Roy, Margaret Werner-Washburne, Terran Lane. bioinformatics, 24(10):1318-1320, 2008. [doi]

Integrative Construction and Analysis of Condition-specific Biological NetworksSushmita Roy, Terran Lane, Margaret Werner-Washburne. AAAI 2008: 1867-1868

Multiple-Instance Regression with Structured DataKiri L. Wagstaff, Terran Lane, Alex Roper. icdm 2008: 291-300 [doi]

Bayesian Network Score Approximation using a Metagraph KernelBenjamin Yackley, Eduardo Corona, Terran Lane. nips 2009: 1833-1840 [doi]

2007

Approximation Algorithms for Orienteering and Discounted-Reward TSPAvrim Blum, Shuchi Chawla, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff. SICOMP, 37(2):653-670, 2007. [doi]

Shrinkage Estimator for Bayesian Network ParametersJohn Burge, Terran Lane. ecml 2007: 67-78 [doi]

Reinforcement Learning in Nonstationary Environment Navigation TasksTerran Lane, Martin Ridens, Scott Stevens. ai 2007: 429-440 [doi]

A Randomized String Kernel and Its Application to RNA InterferenceShibin Qiu, Terran Lane, Ljubomir J. Buturovic. AAAI 2007: 627-632

Efficient search algorithms for RNAi target detectionShibin Qiu, Terran Lane, Cundong Yang. tjs, 42(3):303-319, 2007. [doi]

The RNA String Kernel for siRNA Efficacy PredictionShibin Qiu, Terran Lane. bibe 2007: 307-314 [doi]

Integrative Construction and Analysis of Condition-specific Biological NetworksSushmita Roy, Terran Lane, Margaret Werner-Washburne. AAAI 2007: 1898-1899

Report on the SIGART Doctoral ConsortiumKiri L. Wagstaff, Terran Lane. aim, 28(1):84-85, 2007. [doi]

2006

2005

Learning class-discriminative dynamic Bayesian networksJohn Burge, Terran Lane. icml 2005: 97-104 [doi]

Toward a Topological Theory of Relational Reinforcement Learning for Navigation TasksTerran Lane, Andrew Wilson. flairs 2005: 461-467

Data mining methods for anomaly detection KDD-2005 workshop reportDragos D. Margineantu, Stephen Bay, Philip Chan, Terran Lane. sigkdd, 7(2):132-136, 2005. [doi]

Parallel Computation of RBF Kernels for Support Vector ClassifiersShibin Qiu, Terran Lane. sdm 2005: 334-345

String Kernels of Imperfect Matches for Off-target Detection in RNA InterferenceShibin Qiu, Terran Lane. iccS 2005: 894-902 [doi]

A datamining approach to cell population deconvolution from gene expressions using particle filtersSushmita Roy, Terran Lane, Margaret Werner-Washburne. kdd 2005: 46-53 [doi]

Efficient RNAi-based gene family knockdown via set cover optimizationWenzhong Zhao, M. Leigh Fanning, Terran Lane. artmed, 35(1-2):61-73, 2005. [doi]

siRNA off-target search: a hybrid q-gram based filtering approachWenzhong Zhao, Terran Lane. kdd 2005: 54-60 [doi]

2003

Approximation Algorithms for Orienteering and Discounted-Reward TSPAvrim Blum, Shuchi Chawla, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff. focs 2003: 46-55 [doi]

An Empirical Study of Two Approaches to Sequence Learning for Anomaly DetectionTerran Lane, Carla E. Brodley. ml, 51(1):73-107, 2003.

2002

Nearly Deterministic Abstractions of Markov Decision ProcessesTerran Lane, Leslie Pack Kaelbling. AAAI 2002: 260-266

2001

Approaches to macro decompositions of large Markov decision process planning problemsTerran Lane, Leslie Pack Kaelbling. mr 2001: 104-113 [doi]

2000

Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface DataTerran Lane, Carla E. Brodley. icml 2000: 519-526

1999

Temporal Sequence Learning and Data Reduction for Anomaly DetectionTerran Lane, Carla E. Brodley. tissec, 2(3):295-331, 1999. [doi]

1998

Temporal Sequence Learning and Data Reduction for Anomaly DetectionTerran Lane, Carla E. Brodley. ccs 1998: 150-158 [doi]

Approaches to Online Learning and Concept Drift for User Identification in Computer SecurityTerran Lane, Carla E. Brodley. kdd 1998: 259-263

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2015

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1998

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