Milos Hauskrecht

Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont: Outlier detection for patient monitoring and alerting. Journal of Biomedical Informatics 46(1): 47-55 (2013)

Milos Hauskrecht, Eli Upfal: A Clustering Approach to Solving Large Stochastic Matching Problems. CoRR abs/1301.2277 (2013)

Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. CoRR abs/1301.7381 (2013)

Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht: Factorized Diffusion Map Approximation. Journal of Machine Learning Research - Proceedings Track 22: 37-46 (2012)

Shuguang Wang, Milos Hauskrecht: Keyword annotation of biomedicai documents with graph-based similarity methods. BIBM 2012: 1-4

Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper: A multivariate probabilistic method for comparing two clinical datasets. IHI 2012: 795-800

Iyad Batal, Dmitriy Fradkin, James Harrison, Fabian Moerchen, Milos Hauskrecht: Mining recent temporal patterns for event detection in multivariate time series data. KDD 2012: 280-288

Iyad Batal, Gregory F. Cooper, Milos Hauskrecht: A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. ECML/PKDD (2) 2012: 260-276

Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrecht: Sampling Strategies to Evaluate the Performance of Unknown Predictors. SDM 2012: 494-505

Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht: Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. UAI 2012: 64-73

Branislav Kveton, Milos Hauskrecht: Partitioned Linear Programming Approximations for MDPs. CoRR abs/1206.3266 (2012)

Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Continuous and Discrete Variables. CoRR abs/1207.4150 (2012)

Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht: Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. CoRR abs/1210.4846 (2012)

Milos Hauskrecht, Tomás Singliar: Monte-Carlo optimizations for resource allocation problems in stochastic network systems. CoRR abs/1212.2481 (2012)

Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht: A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM 2011: 358-365

Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht: Learning Classification with Auxiliary Probabilistic Information. ICDM 2011: 477-486

Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht: Conditional Anomaly Detection with Soft Harmonic Functions. ICDM 2011: 735-743

Saeed Amizadeh, Shuguang Wang, Milos Hauskrecht: An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics. IJCAI 2011: 1159-1164

Dave Krebs, Alexander Conrad, Milos Hauskrecht, Jingtao Wang: MARBLS: a visual environment for building clinical alert rules. UIST (Adjunct Volume) 2011: 67-68

Milos Hauskrecht: Value-Function Approximations for Partially Observable Markov Decision Processes. CoRR abs/1106.0234 (2011)

Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Hybrid State and Action Variables. CoRR abs/1110.0028 (2011)

Tomás Singliar, Milos Hauskrecht: Learning to detect incidents from noisily labeled data. Machine Learning 79(3): 335-354 (2010)

Richard Pelikan, Milos Hauskrecht: Efficient Peak-Labeling Algorithms for Whole-Sample Mass Spectrometry Proteomics. IEEE/ACM Trans. Comput. Biology Bioinform. 7(1): 126-137 (2010)

Saeed Amizadeh, Milos Hauskrecht: Latent Variable Model for Learning in Pairwise Markov Networks. AAAI 2010

Iyad Batal, Milos Hauskrecht: Constructing classification features using minimal predictive patterns. CIKM 2010: 869-878

Iyad Batal, Milos Hauskrecht: A Concise Representation of Association Rules Using Minimal Predictive Rules. ECML/PKDD (1) 2010: 87-102

Shuguang Wang, Milos Hauskrecht: Effective query expansion with the resistance distance based term similarity metric. SIGIR 2010: 715-716

Iyad Batal, Milos Hauskrecht: Boosting KNN text classification accuracy by using supervised term weighting schemes. CIKM 2009: 2041-2044

Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht: Multivariate Time Series Classification with Temporal Abstractions. FLAIRS Conference 2009

Shuguang Wang, Milos Hauskrecht: Improving Biomedical Document Retrieval by Mining Domain Knowledge. FLAIRS Conference 2009

Shuguang Wang, Shyam Visweswaran, Milos Hauskrecht: Document Retrieval using a Probabilistic Knowledge Model. KDIR 2009: 26-33

Iyad Batal, Milos Hauskrecht: A Supervised Time Series Feature Extraction Technique Using DCT and DWT. ICMLA 2009: 735-739

Michal Valko, Milos Hauskrecht: Distance Metric Learning for Conditional Anomaly Detection. FLAIRS Conference 2008: 684-689

Tomás Singliar, Milos Hauskrecht: Approximation Strategies for Routing in Stochastic Dynamic Networks. ISAIM 2008

Shuguang Wang, Milos Hauskrecht: Improving biomedical document retrieval using domain knowledge. SIGIR 2008: 785-786

Branislav Kveton, Milos Hauskrecht: Partitioned Linear Programming Approximations for MDPs. UAI 2008: 341-348

Richard Pelikan, William L. Bigbee, David Malehorn, James Lyons-Weiler, Milos Hauskrecht: Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification models. Bioinformatics 23(22): 3065-3072 (2007)

Tomás Singliar, Milos Hauskrecht: Modeling Highway Traffic Volumes. ECML 2007: 732-739

Tomás Singliar, Milos Hauskrecht: Learning to Detect Adverse Traffic Events from Noisily Labeled Data. PKDD 2007: 236-247

Branislav Kveton, Milos Hauskrecht, Carlos Guestrin: Solving Factored MDPs with Hybrid State and Action Variables. J. Artif. Intell. Res. (JAIR) 27: 153-201 (2006)

Tomás Singliar, Milos Hauskrecht: Noisy-OR Component Analysis and its Application to Link Analysis. Journal of Machine Learning Research 7: 2189-2213 (2006)

Branislav Kveton, Milos Hauskrecht: Learning Basis Functions in Hybrid Domains. AAAI 2006: 1161-1166

Branislav Kveton, Milos Hauskrecht: Solving Factored MDPs with Exponential-Family Transition Models. ICAPS 2006: 114-120

Daniel Mossé, Louise Comfort, Ahmed Amer, José Carlos Brustoloni, Panos K. Chrysanthis, Milos Hauskrecht, Alexandros Labrinidis, Rami G. Melhem, Kirk Pruhs: Secure-CITI Critical Information-Technology Infrastructure. DG.O 2006: 253-254

Milos Hauskrecht: Approximate Linear Programming for Solving Hybrid Factored MDPs. ISAIM 2006

Branislav Kveton, Milos Hauskrecht: An MCMC Approach to Solving Hybrid Factored MDPs. IJCAI 2005: 1346-1351

Tomás Singliar, Milos Hauskrecht: Variational Learning for Noisy-OR Component Analysis. SDM 2005

Branislav Kveton, Milos Hauskrecht: Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes. ICAPS 2004: 306-314

Xinghua Lu, Milos Hauskrecht, Roger S. Day: Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. Pacific Symposium on Biocomputing 2004: 533-544

Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Continuous and Discrete Variables. UAI 2004: 235-242

Milos Hauskrecht, Branislav Kveton: Linear Program Approximations for Factored Continuous-State Markov Decision Processes. NIPS 2003

Milos Hauskrecht, Tomás Singliar: Monte-Carlo optimizations for resource allocation problems in stochastic network systems. UAI 2003: 305-312

Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal: Efficient Methods for Computing Investment Strategies for Multi-Market Commodity Trading. Applied Artificial Intelligence 15(5): 429-452 (2001)

Milos Hauskrecht, Eli Upfal: A Clustering Approach to Solving Large Stochastic Matching Problems. UAI 2001: 219-226

Milos Hauskrecht, Hamish S. F. Fraser: Planning treatment of ischemic heart disease with partially observable Markov decision processes. Artificial Intelligence in Medicine 18(3): 221-244 (2000)

Milos Hauskrecht: Value-Function Approximations for Partially Observable Markov Decision Processes. J. Artif. Intell. Res. (JAIR) 13: 33-94 (2000)

Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal: Computing Global Strategies for Multi-Market Commodity Trading. AIPS 2000: 159-166

Milos Hauskrecht, Gopal Pandurangan, Eli Upfal: Computing Near Optimal Strategies for Stochastic Investment Planning Problems. IJCAI 1999: 1310-1315

Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172

Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229

Milos Hauskrecht: Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes. AAAI/IAAI 1997: 734-739

Milos Hauskrecht: Dynamic Decision Making in Stochastic Partially Observable Domains: Ischemic Heart Disease Example. AIME 1997: 296-299