Terran Lane

According to our database1, Terran Lane authored at least 64 papers between 1998 and 2015.

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Bibliography

2015
Transfer learning for Bayesian discovery of multiple Bayesian networks.
Knowl. Inf. Syst., 2015

2014
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia.
NeuroImage, 2014

Malware Phylogenetics Based on the Multiview Graphical Lasso.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
TDCS guided using fMRI significantly accelerates learning to identify concealed objects.
NeuroImage, 2012

Towards a Biomolecular Learning Machine.
Proceedings of the Unconventional Computation and Natural Computation, 2012

Smoothness and Structure Learning by Proxy .
Proceedings of the 29th International Conference on Machine Learning, 2012

Multiple Kernel Learning Clustering with an Application to Malware.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Improving malware classification: bridging the static/dynamic gap.
Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, 2012

Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Correlated Noise: How it Breaks NMF, and What to Do About it.
J. Signal Process. Syst., 2011

Graph-based malware detection using dynamic analysis.
J. Comput. Virol., 2011

Directional Statistics on Permutations.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Effective connectivity analysis of fMRI and MEG data collected under identical paradigms.
Comput. Biol. Medicine, 2011

A multiple network learning approach to capture system-wide condition-specific responses.
Bioinform., 2011

Active learning for node classification in assortative and disassortative networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Detecting Code Injection Attacks in Internet Explorer.
Proceedings of the Workshop Proceedings of the 35th Annual IEEE International Computer Software and Applications Conference, 2011

The Importance of Selective Knowledge Transfer for Lifelong Learning.
Proceedings of the Lifelong Learning, 2011

2010
MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes.
Frontiers Neuroinformatics, 2010

Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Permutations as Angular Data: Efficient Inference in Factorial Spaces.
Proceedings of the ICDM 2010, 2010

2009
A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Multiplicative updates For Non-Negative Kernel SVM
CoRR, 2009

Efficient Multiplicative Updates for Support Vector Machines.
Proceedings of the SIAM International Conference on Data Mining, 2009

Inference of Functional Networks of Condition-Specific Response--A Case Study Of Quiescence In Yeast.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Learning structurally consistent undirected probabilistic graphical models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Hybrid ICA-Bayesian network approach reveals distinct effective connectivity differences in schizophrenia.
NeuroImage, 2008

siRNA silencing efficacy prediction using the RNA string kernel.
Int. J. Comput. Biol. Drug Des., 2008

A system for generating transcription regulatory networks with combinatorial control of transcription.
Bioinform., 2008

Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Bayesian Network Score Approximation using a Metagraph Kernel.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction.
Proceedings of the Bioinformatics Research and Applications, 2008

Multiple-Instance Regression with Structured Data.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Efficient search algorithms for RNAi target detection.
J. Supercomput., 2007

Approximation Algorithms for Orienteering and Discounted-Reward TSP.
SIAM J. Comput., 2007

Report on the SIGART Doctoral Consortium.
AI Mag., 2007

Shrinkage Estimator for Bayesian Network Parameters.
Proceedings of the Machine Learning: ECML 2007, 2007

The RNA String Kernel for siRNA Efficacy Prediction.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Reinforcement Learning in Nonstationary Environment Navigation Tasks.
Proceedings of the Advances in Artificial Intelligence, 2007

Integrative Construction and Analysis of Condition-specific Biological Networks.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

A Randomized String Kernel and Its Application to RNA Interference.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
On the medical frontier: the 2006 KDD Cup competition and results.
SIGKDD Explor., 2006

A Hidden-State Markov Model for Cell Population Deconvolution.
J. Comput. Biol., 2006

RNA string kernels for RNAi off-target evaluation.
Int. J. Bioinform. Res. Appl., 2006

Phase Transitions in Gene Knockdown Networks of Transitive RNAi.
Proceedings of the Computational Science, 2006

Efficient Target Detection for RNA Interference.
Proceedings of the Advances in Grid and Pervasive Computing, 2006

Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Data mining methods for anomaly detection KDD-2005 workshop report.
SIGKDD Explor., 2005

Parameters Affecting the Resilience of Scale-Free Networks to Random Failures
CoRR, 2005

The Impact of Social Networks on Multi-Agent Recommender Systems
CoRR, 2005

Efficient RNAi-based gene family knockdown via set cover optimization.
Artif. Intell. Medicine, 2005

Parallel Computation of RBF Kernels for Support Vector Classifiers.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

siRNA off-target search: a hybrid q-gram based filtering approach.
Proceedings of the 5th international workshop on Bioinformatics, 2005

A datamining approach to cell population deconvolution from gene expressions using particle filters.
Proceedings of the 5th international workshop on Bioinformatics, 2005

Learning class-discriminative dynamic Bayesian networks.
Proceedings of the Machine Learning, 2005

String Kernels of Imperfect Matches for Off-target Detection in RNA Interference.
Proceedings of the Computational Science, 2005

Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2003
An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection.
Mach. Learn., 2003

2002
Nearly Deterministic Abstractions of Markov Decision Processes.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Approaches to macro decompositions of large Markov decision process planning problems.
Proceedings of the Mobile Robots XVI, Boston, 2001

2000
Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Temporal Sequence Learning and Data Reduction for Anomaly Detection.
ACM Trans. Inf. Syst. Secur., 1999

1998
Approaches to Online Learning and Concept Drift for User Identification in Computer Security.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998


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