Multidimensional continuous time Bayesian network classifiers
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Concha Bielza | Pedro Larrañaga | Carlos Villa-Blanco | C. Bielza | P. Larrañaga | Carlos Villa-Blanco
[1] Concha Bielza,et al. New insights into the classification and nomenclature of cortical GABAergic interneurons , 2013, Nature Reviews Neuroscience.
[2] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[3] Pedro Larrañaga,et al. Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Yannis Manolopoulos,et al. Feature-based classification of time-series data , 2001 .
[5] Daphne Koller,et al. Learning Continuous Time Bayesian Networks , 2002, UAI.
[6] Aurélien Mazurie,et al. Gene networks inference using dynamic Bayesian networks , 2003, ECCB.
[7] Max Henrion,et al. Propagating uncertainty in bayesian networks by probabilistic logic sampling , 1986, UAI.
[8] Gregory F. Cooper,et al. Scoring Bayesian networks of mixed variables , 2018, International Journal of Data Science and Analytics.
[9] Concha Bielza,et al. Multi-dimensional Bayesian network classifiers: A survey , 2020, Artificial Intelligence Review.
[10] Jiebo Luo,et al. A Bayesian network-based framework for semantic image understanding , 2005, Pattern Recognit..
[11] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[12] Zhi-Hua Zhou,et al. ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..
[13] Eamonn J. Keogh,et al. A Complexity-Invariant Distance Measure for Time Series , 2011, SDM.
[14] Jason Weston,et al. A kernel method for multi-labelled classification , 2001, NIPS.
[15] Olufemi A. Omitaomu,et al. Weighted dynamic time warping for time series classification , 2011, Pattern Recognit..
[16] Concha Bielza,et al. Discrete Bayesian Network Classifiers , 2014, ACM Comput. Surv..
[17] David Heckerman,et al. A Tutorial on Learning with Bayesian Networks , 1999, Innovations in Bayesian Networks.
[18] Kevin P. Murphy,et al. Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.
[19] Iñaki Inza,et al. Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting , 2013, Environ. Model. Softw..
[20] Min-Ling Zhang,et al. A Review on Multi-Label Learning Algorithms , 2014, IEEE Transactions on Knowledge and Data Engineering.
[21] Amanda Clare,et al. Knowledge Discovery in Multi-label Phenotype Data , 2001, PKDD.
[22] Fabio Stella,et al. Continuous time Bayesian network classifiers , 2012, J. Biomed. Informatics.
[23] Stuart J. Russell,et al. Dynamic bayesian networks: representation, inference and learning , 2002 .
[24] Ivor W. Tsang,et al. Survey on Multi-Output Learning , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[25] Min-Ling Zhang,et al. Multi-dimensional classification via kNN feature augmentation , 2020, Pattern Recognit..
[26] Yuval Shahar,et al. Classification-driven temporal discretization of multivariate time series , 2014, Data Mining and Knowledge Discovery.
[27] David Maxwell Chickering,et al. Learning Bayesian networks: The combination of knowledge and statistical data , 1995, Mach. Learn..
[28] Concha Bielza,et al. Multi-dimensional classification with Bayesian networks , 2011, Int. J. Approx. Reason..
[29] Keiji Kanazawa,et al. A model for reasoning about persistence and causation , 1989 .
[30] Donald J. Berndt,et al. Using Dynamic Time Warping to Find Patterns in Time Series , 1994, KDD Workshop.
[31] Linda C. van der Gaag,et al. Inference and Learning in Multi-dimensional Bayesian Network Classifiers , 2007, ECSQARU.
[32] Daphne Koller,et al. Continuous Time Bayesian Networks , 2012, UAI.
[33] R. Bouckaert. Bayesian belief networks : from construction to inference , 1995 .
[34] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[35] Fabio Stella,et al. Learning continuous time Bayesian network classifiers , 2014, Int. J. Approx. Reason..
[36] Fabio Stella,et al. Learning Continuous Time Bayesian Networks in Non-stationary Domains , 2016, J. Artif. Intell. Res..
[37] Geoff Holmes,et al. Classifier chains for multi-label classification , 2009, Machine Learning.
[38] Fabio Stella,et al. Making Continuous Time Bayesian Networks More Flexible , 2018, PGM.
[39] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[40] Hamilton E. Link,et al. Discrete dynamic Bayesian network analysis of fMRI data , 2009, Human brain mapping.
[41] Li Yang,et al. On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice , 2020, Neurocomputing.
[42] Nick S. Jones,et al. Highly Comparative Feature-Based Time-Series Classification , 2014, IEEE Transactions on Knowledge and Data Engineering.
[43] Friedhelm Schwenker,et al. Classification of bioacoustic time series based on the combination of global and local decisions , 2004, Pattern Recognit..
[44] Gregory F. Cooper,et al. A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.
[45] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[46] Charles Elkan,et al. Learning to Diagnose with LSTM Recurrent Neural Networks , 2015, ICLR.
[47] Concha Bielza,et al. A Bayesian network model for surface roughness prediction in the machining process , 2008, Int. J. Syst. Sci..
[48] H. Akaike. A new look at the statistical model identification , 1974 .
[49] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[50] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[51] Geoffrey Zweig,et al. Speech Recognition with Dynamic Bayesian Networks , 1998, AAAI/IAAI.
[52] Fabio Stella,et al. Constraint-Based Learning for Continuous-Time Bayesian Networks , 2020, PGM.
[53] Linda C. van der Gaag,et al. Multi-dimensional Bayesian Network Classifiers , 2006, Probabilistic Graphical Models.
[54] Gregory F. Cooper,et al. The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks , 1989, AIME.
[55] Min-Ling Zhang,et al. Multi-Dimensional Classification via kNN Feature Augmentation , 2019, AAAI.