Terran Lane

发表

Machine Learning Techniques for the Domain of Anomaly Detection for Computer Security

Terran Lane, T. Lane, 1998 .

siRNA off-target search: a hybrid q-gram based filtering approach

Wenzhong Zhao, Terran Lane, T. Lane, 2005, BIOKDD.

Data mining methods for anomaly detection KDD-2005 workshop report

Terran Lane, Dragos D. Margineantu, Stephen Bay, 2005, SKDD.

A multiple network learning approach to capture system-wide condition-specific responses

Margaret Werner-Washburne, Terran Lane, Sushmita Roy, 2011, Bioinform..

Salience Assignment for Multiple-Instance Regression

Kiri L. Wagstaff, Terran Lane, 2007 .

Multiplicative updates For Non-Negative Kernel SVM pdf

Vince D. Calhoun, Vamsi K. Potluru, Sergey M. Plis, 2009, ArXiv.

Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks

Sergey M. Plis, Eva Besada-Portas, Jesús Manuel de la Cruz, 2010, ECML/PKDD.

On the Origin and Destiny of Inductive Machine Learning

Terran Lane, 2003 .

An Application of Machine Learning to Anomaly Detection

Terran Lane, T. Lane, 1999 .

Detecting the Abnormal: Machine Learning in Computer Security

Carla E. Brodley, Terran Lane, T. Lane, 1997 .

Population Variability and Bayesian Inference

Terran Lane, 2011 .

Reinforcement Learning in Nonstationary Environment Navigation Tasks

Scott Stevens, Terran Lane, Martin Ridens, 2007, Canadian Conference on AI.

RNA string kernels for RNAi off-target evaluation

Terran Lane, Shibin Qiu, T. Lane, 2006, Int. J. Bioinform. Res. Appl..

Hybrid Collaborative Learning for Classification and Clustering in Sensor Networks

Kiri L. Wagstaff, Terran Lane, Scott Sosnowski, 2012 .

TDCS guided using fMRI significantly accelerates learning to identify concealed objects

Vince D. Calhoun, Elaine M. Raybourn, Vincent P. Clark, 2012, NeuroImage.

Machine learning techniques for the computer security domain of anomaly detection

Carla E. Brodley, Terran Lane, T. Lane, 2000 .

Phase Transitions in Gene Knockdown Networks of Transitive RNAi

Terran Lane, Shibin Qiu, T. Lane, 2006, International Conference on Computational Science.

A Hidden-State Markov Model for Cell Population Deconvolution

Anthony D. Aragon, Terran Lane, Sushmita Roy, 2006, J. Comput. Biol..

Parallel Computation of RBF Kernels for Support Vector Classifiers

Terran Lane, Shibin Qiu, T. Lane, 2005, SDM.

A datamining approach to cell population deconvolution from gene expressions using particle filters

Terran Lane, Sushmita Roy, Margaret Werner-Washburne, 2005, BIOKDD.

Bayesian Network Score Approximation using a Metagraph Kernel

Terran Lane, Eduardo Corona, Benjamin Yackley, 2008, NIPS.

Efficient search algorithms for RNAi target detection

Cundong Yang, Terran Lane, Shibin Qiu, 2007, The Journal of Supercomputing.

Collaborative Clustering for Sensor Networks

Terran Lane, Wagstaff. Loro, Green Jillian, 2011 .

Improving malware classification: bridging the static/dynamic gap

Terran Lane, Blake Anderson, Curtis Storlie, 2012, AISec.

Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks

Andrew Wilson, Terran Lane, Andrew T. Wilson, 2005, FLAIRS.

Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning

Terran Lane, Diane Oyen, T. Lane, 2012, AAAI.

The Impact of Social Networks on Multi-Agent Recommender Systems pdf

Jared Saia, Terran Lane, Randall A. LaViolette, 2005, ArXiv.

Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning

Terran Lane, Diane Oyen, 2013, 2013 IEEE 13th International Conference on Data Mining.

Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data

Carla E. Brodley, Terran Lane, T. Lane, 2000, ICML.

Human Neuroscience

Terran Lane, Ron Kikinis, Henry J. Bockholt, 2010 .

Efficient Multiplicative Updates for Support Vector Machines

Vince D. Calhoun, Vamsi K. Potluru, Sergey M. Plis, 2009, SDM.

High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia

Vince D. Calhoun, Vamsi K. Potluru, Sergey M. Plis, 2014, NeuroImage.

String Kernels of Imperfect Matches for Off-target Detection in RNA Interference

Terran Lane, Shibin Qiu, T. Lane, 2005, International Conference on Computational Science.

Approximation algorithms for orienteering and discounted-reward TSP

David R. Karger, Adam Meyerson, Avrim Blum, 2003, 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings..

Learning bayesian networks from hierarchically related data with a neuroimaging application

Terran Lane, John Burge, 2007 .

Integrative Construction and Analysis of Condition-specific Biological Networks

Margaret Werner-Washburne, Terran Lane, Sushmita Roy, 2008, AAAI.

Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction

Terran Lane, Shibin Qiu, T. Lane, 2008, ISBRA.

Directional Statistics on Permutations

Vince D. Calhoun, Sergey M. Plis, Terran Lane, 2010, AISTATS.

Smoothness and Structure Learning by Proxy

Terran Lane, Benjamin Yackley, 2012, ICML.

Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies

Terran Lane, John Burge, T. Lane, 2006, ECML.

Hybrid ICA–Bayesian network approach reveals distinct effective connectivity differences in schizophrenia

Vince D. Calhoun, Kent A. Kiehl, Godfrey D. Pearlson, 2008, NeuroImage.

The Importance of Selective Knowledge Transfer for Lifelong Learning

Eric Eaton, Terran Lane, 2011, Lifelong Learning.

A system for generating transcription regulatory networks with combinatorial control of transcription

Margaret Werner-Washburne, Terran Lane, Sushmita Roy, 2008, Bioinform..

Vince D. Calhoun, Vamsi K. Potluru, Sergey M. Plis, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks

Sergey M. Plis, Eva Besada-Portas, Jesús Manuel de la Cruz, 2009, ECML/PKDD.

A Randomized String Kernel and Its Application to RNA Interference

Ljubomir J. Buturovic, Terran Lane, Shibin Qiu, 2007, AAAI.

Approaches to macro decompositions of large Markov decision process planning problems

Leslie Pack Kaelbling, Terran Lane, L. Kaelbling, 2002, SPIE Optics East.

MEG and fMRI for nonlinear estimation of neural activity

Vince D. Calhoun, Sergey M. Plis, Terran Lane, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal Changes

Vince D. Calhoun, Sergey M. Plis, Tom Eichele, 2010, Front. Neuroinform..

On the medical frontier: the 2006 KDD Cup competition and results

Jinbo Bi, Marcos Salganicoff, R. Bharat Rao, 2006, SKDD.

The RNA String Kernel for siRNA Efficacy Prediction

Terran Lane, Shibin Qiu, T. Lane, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Hidden Markov Models for Human/Computer Interface Modeling

Terran Lane, T. Lane, 1999 .

Filtering Techniques for Rapid User Classification

Terran Lane, T. Lane, 1998 .

Approaches to Online Learning and Concept Drift for User Identification in Computer Security

Carla E. Brodley, Terran Lane, T. Lane, 1998, KDD.

Efficient RNAi-based gene family knockdown via set cover optimization

Wenzhong Zhao, Terran Lane, M. Leigh Fanning, 2005, Artif. Intell. Medicine.

Temporal sequence learning and data reduction for anomaly detection

Carla E. Brodley, Terran Lane, T. Lane, 1998, CCS '98.

Malware Phylogenetics Based on the Multiview Graphical Lasso

Curtis Hash, Terran Lane, Blake Anderson, 2014, IDA.

An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection

Carla E. Brodley, Terran Lane, T. Lane, 2003, Machine Learning.

siRNA silencing efficacy prediction using the RNA string kernel

Terran Lane, Shibin Qiu, T. Lane, 2008, Int. J. Comput. Biol. Drug Des..

Inference of Functional Networks of Condition-Specific Response--A Case Study Of Quiescence In Yeast

Diego Martínez, Margaret Werner-Washburne, Terran Lane, 2008, Pacific Symposium on Biocomputing.

A Decision-Theoritic, Semi-Supervised Model for Intrusion Detection

Terran Lane, T. Lane, 2006 .

Shrinkage Estimator for Bayesian Network Parameters

Terran Lane, John Burge, 2007, ECML.

Detecting Code Injection Attacks in Internet Explorer

Terran Lane, Blake Anderson, Daniel Quist, 2011, 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops.

Transfer learning for Bayesian discovery of multiple Bayesian networks

Terran Lane, Diane Oyen, 2014, Knowledge and Information Systems.

Graph-based malware detection using dynamic analysis

Curtis B. Storlie, Joshua Neil, Terran Lane, 2011, Journal in Computer Virology.

Nearly deterministic abstractions of Markov decision processes

Leslie Pack Kaelbling, Terran Lane, L. Kaelbling, 2002, AAAI/IAAI.

Report on the SIGART Doctoral Consortium

Kiri Wagstaff, Terran Lane, 2007, AI Mag..

Knowledge discovery and data mining

Carla E. Brodley, Terran Lane, Timothy M. Stough, 1999 .

Permutations as Angular Data: Efficient Inference in Factorial Spaces

Vince D. Calhoun, Sergey M. Plis, Terran Lane, 2010, 2010 IEEE International Conference on Data Mining.

Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer

Eric Eaton, Marie desJardins, Terran Lane, 2008, ECML/PKDD.

Knowledge Discovery and Data Mining Computers taught to discern patterns, detect anomalies and apply decision algorithms can help secure computer systems and find volcanoes on Venus

Carla E. Brodley, Terran Lane, Timothy M. Stough, 2016 .

Multiple Kernel Learning Clustering with an Application to Malware

Curtis B. Storlie, Terran Lane, Blake Anderson, 2012, 2012 IEEE 12th International Conference on Data Mining.

Parameters Affecting the Resilience of Scale-Free Networks to Random Failures pdf

Jared Saia, Terran Lane, Randall A. LaViolette, 2005, ArXiv.

Multiple-Instance Regression with Structured Data

Kiri Wagstaff, Terran Lane, Alex Roper, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Effective connectivity analysis of fMRI and MEG data collected under identical paradigms

Vince D. Calhoun, Sergey M. Plis, Eswar Damaraju, 2011, Comput. Biol. Medicine.

Learning class-discriminative dynamic Bayesian networks

Terran Lane, John Burge, T. Lane, 2005, ICML.

Approximation Algorithms for Orienteering and Discounted-Reward TSP

David R. Karger, Adam Meyerson, Avrim Blum, 2007, SIAM J. Comput..

A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction

Terran Lane, Shibin Qiu, T. Lane, 2009, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Learning structurally consistent undirected probabilistic graphical models

Terran Lane, Sushmita Roy, Margaret Werner-Washburne, 2009, ICML '09.

Efficient Target Detection for RNA Interference

Cundong Yang, Terran Lane, Shibin Qiu, 2006, GPC.

Extensions of ROC Analysis to multi-class domains

Terran Lane, T. Lane, 2000 .

Towards a Biomolecular Learning Machine

Matthew R. Lakin, Darko Stefanovic, Terran Lane, 2012, UCNC.

Collaborative Supervised Learning for Sensor Networks

Umaa Rebbapragada, Kiri L. Wagstaff, Terran Lane, 2011 .

A computational study of off-target effects of RNA interference

Terran Lane, Shibin Qiu, T. Lane, 2005, Nucleic acids research.

Technical Report : Using Laplacian Methods , RKHS Smoothing Splines and Bayesian Estimation as a framework for Regression on Graph and Graph Related Domains

Terran Lane, Eduardo Corona, Curtis Storlie, 2008 .

Fast Bayesian Network Structure Search Using Gaussian Processes

Terran Lane, Blake Anderson, 2009 .

Models and Model Biases for Automatically Learning Task Switching Behavior

Terran Lane, Hamilton Link, Hamilton E. Link, 2005 .

Design of a biochemical circuit motif for learning linear functions

Matthew R. Lakin, Darko Stefanovic, Matthew R Lakin, 2014, Journal of The Royal Society Interface.