Terran Lane

	2009
40		Eva Besada-Portas, Sergey M. Plis, Jesús Manuel de la Cruz, Terran Lane: Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks. ECML/PKDD (1) 2009: 131-146
39		Sushmita Roy, Terran Lane, Margaret Werner-Washburne: Learning structurally consistent undirected probabilistic graphical models. ICML 2009: 114
38		Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane: Efficient Multiplicative Updates for Support Vector Machines. SDM 2009: 1218-1229
37		Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane: Multiplicative updates For Non-Negative Kernel SVM CoRR abs/0902.4228: (2009)
36		Shibin Qiu, Terran Lane: A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction. IEEE/ACM Trans. Comput. Biology Bioinform. 6(2): 190-199 (2009)
	2008
35		Sushmita Roy, Terran Lane, Margaret Werner-Washburne: Integrative Construction and Analysis of Condition-specific Biological Networks. AAAI 2008: 1867-1868
34		Eric Eaton, Marie desJardins, Terran Lane: Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer. ECML/PKDD (1) 2008: 317-332
33		Kiri L. Wagstaff, Terran Lane, Alex Roper: Multiple-Instance Regression with Structured Data. ICDM Workshops 2008: 291-300
32		Shibin Qiu, Terran Lane: Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction. ISBRA 2008: 367-378
31		Benjamin Yackley, Eduardo Corona, Terran Lane: Bayesian Network Score Approximation using a Metagraph Kernel. NIPS 2008: 1833-1840
30		Sushmita Roy, Margaret Werner-Washburne, Terran Lane: A system for generating transcription regulatory networks with combinatorial control of transcription. Bioinformatics 24(10): 1318-1320 (2008)
29		Shibin Qiu, Terran Lane: siRNA silencing efficacy prediction using the RNA string kernel. I. J. Computational Biology and Drug Design 1(2): 103-121 (2008)
	2007
28		Sushmita Roy, Terran Lane, Margaret Werner-Washburne: Integrative Construction and Analysis of Condition-specific Biological Networks. AAAI 2007: 1898-1899
27		Shibin Qiu, Terran Lane, Ljubomir J. Buturovic: A Randomized String Kernel and Its Application to RNA Interference. AAAI 2007: 627-632
26		Shibin Qiu, Terran Lane: The RNA String Kernel for siRNA Efficacy Prediction. BIBE 2007: 307-314
25		Terran Lane, Martin Ridens, Scott Stevens: Reinforcement Learning in Nonstationary Environment Navigation Tasks. Canadian Conference on AI 2007: 429-440
24		John Burge, Terran Lane: Shrinkage Estimator for Bayesian Network Parameters. ECML 2007: 67-78
23		Avrim Blum, Shuchi Chawla, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff: Approximation Algorithms for Orienteering and Discounted-Reward TSP. SIAM J. Comput. 37(2): 653-670 (2007)
22		Shibin Qiu, Terran Lane, Cundong Yang: Efficient search algorithms for RNAi target detection. The Journal of Supercomputing 42(3): 303-319 (2007)
	2006
21		John Burge, Terran Lane: Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies. ECML 2006: 66-77
20		Shibin Qiu, Cundong Yang, Terran Lane: Efficient Target Detection for RNA Interference. GPC 2006: 22-31
19		Shibin Qiu, Terran Lane: Phase Transitions in Gene Knockdown Networks of Transitive RNAi. International Conference on Computational Science (2) 2006: 895-903
18		Shibin Qiu, Terran Lane: RNA string kernels for RNAi off-target evaluation. IJBRA 2(2): 132-146 (2006)
17		Sushmita Roy, Terran Lane, Christopher P. Allen, Anthony D. Aragon, Margaret Werner-Washburne: A Hidden-State Markov Model for Cell Population Deconvolution. Journal of Computational Biology 13(10): 1749-1774 (2006)
16		Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff: On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explorations 8(2): 39-46 (2006)
	2005
15		Terran Lane, Andrew Wilson: Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks. FLAIRS Conference 2005: 461-467
14		John Burge, Terran Lane: Learning class-discriminative dynamic Bayesian networks. ICML 2005: 97-104
13		Shibin Qiu, Terran Lane: String Kernels of Imperfect Matches for Off-target Detection in RNA Interference. International Conference on Computational Science (2) 2005: 894-902
12		Shibin Qiu, Terran Lane: Parallel Computation of RBF Kernels for Support Vector Classifiers. SDM 2005
11		Wenzhong Zhao, M. Leigh Fanning, Terran Lane: Efficient RNAi-based gene family knockdown via set cover optimization. Artificial Intelligence in Medicine 35(1-2): 61-73 (2005)
10		Hamilton Link, Jared Saia, Terran Lane, Randall A. LaViolette: The Impact of Social Networks on Multi-Agent Recommender Systems CoRR abs/cs/0511011: (2005)
9		Hamilton Link, Randall A. LaViolette, Jared Saia, Terran Lane: Parameters Affecting the Resilience of Scale-Free Networks to Random Failures CoRR abs/cs/0511012: (2005)
8		Dragos D. Margineantu, Stephen Bay, Philip Chan, Terran Lane: Data mining methods for anomaly detection KDD-2005 workshop report. SIGKDD Explorations 7(2): 132-136 (2005)
	2003
7		Avrim Blum, Shuchi Chawla, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff: Approximation Algorithms for Orienteering and Discounted-Reward TSP. FOCS 2003: 46-55
6		Terran Lane, Carla E. Brodley: An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection. Machine Learning 51(1): 73-107 (2003)
	2002
5		Terran Lane, Leslie Pack Kaelbling: Nearly Deterministic Abstractions of Markov Decision Processes. AAAI/IAAI 2002: 260-266
	2000
4		Terran Lane, Carla E. Brodley: Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. ICML 2000: 519-526
	1999
3		Terran Lane, Carla E. Brodley: Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Trans. Inf. Syst. Secur. 2(3): 295-331 (1999)
	1998
2		Terran Lane, Carla E. Brodley: Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Conference on Computer and Communications Security 1998: 150-158
1		Terran Lane, Carla E. Brodley: Approaches to Online Learning and Concept Drift for User Identification in Computer Security. KDD 1998: 259-263

Coauthor Index

1	Christopher P. Allen	[17]
2	Anthony D. Aragon	[17]
3	Stephen Bay	[8]
4	Eva Besada-Portas	[40]
5	Jinbo Bi	[16]
6	Avrim Blum	[7] [23]
7	Carla E. Brodley	[1] [2] [3] [4] [6]
8	John Burge	[14] [21] [24]
9	Ljubomir J. Buturovic	[27]
10	Vince D. Calhoun (Vincent D. Calhoun)	[37] [38]
11	Philip Chan	[8]
12	Shuchi Chawla	[7] [23]
13	Eduardo Corona	[31]
14	Jesús Manuel de la Cruz	[40]
15	Eric Eaton	[34]
16	M. Leigh Fanning	[11]
17	Leslie Pack Kaelbling	[5]
18	David R. Karger	[7] [23]
19	Randall A. LaViolette	[9] [10]
20	Jianming Liang	[16]
21	Hamilton Link	[9] [10]
22	Dragos D. Margineantu	[8]
23	Adam Meyerson	[7] [23]
24	Maria Minkoff	[7] [23]
25	Morten Mørup	[37] [38]
26	Sergey M. Plis	[37] [38] [40]
27	Vamsi K. Potluru	[37] [38]
28	Shibin Qiu	[12] [13] [18] [19] [20] [22] [26] [27] [29] [32] [36]
29	R. Bharat Rao	[16]
30	Martin Ridens	[25]
31	Alex Roper	[33]
32	Sushmita Roy	[17] [28] [30] [35] [39]
33	Jared Saia	[9] [10]
34	Marcos Salganicoff	[16]
35	Scott Stevens	[25]
36	Kiri L. Wagstaff	[33]
37	Margaret Werner-Washburne	[17] [28] [30] [35] [39]
38	Andrew Wilson	[15]
39	Benjamin Yackley	[31]
40	Cundong Yang	[20] [22]
41	Wenzhong Zhao	[11]
42	Marie desJardins	[34]

Colors in the list of coauthors