PKDD 2015 - PDF Preprint Papers

PKDD 2015 European Symposium/Conference on Principles of Data Mining and Knowledge Discovery

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PKDD
2015
Springer

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Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming

8 years 5 days ago

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Real-world planning problems frequently involve mixtures of continuous and discrete state variables and actions, and are formulated in environments with an unknown number of object...

Davide Nitti, Vaishak Belle, Luc De Raedt

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Id	Views	Title	Status

1	76	Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming	claim
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6	32	Bayesian Hypothesis Testing in Machine Learning	claim
7	32	Correlation Analysis for Determining the Potential of Home Energy Management Systems in Germany	claim
8	31	MIL: Automatic Metaphor Identification by Statistical Learning	claim
9	30	Adaptive Class Association Rule Mining for Human Activity Recognition	claim
10	28	Non-parametric Jensen-Shannon Divergence	claim
11	27	Hyperparameter Optimization with Factorized Multilayer Perceptrons	claim
12	25	Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data	claim
13	25	Regression with Linear Factored Functions	claim
14	25	Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment	claim
15	24	Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling	claim
16	24	Message Scheduling Methods for Belief Propagation	claim
17	24	Coarse-DTW: Exploiting Sparsity in Gesture Time Series	claim
18	24	Estimating Dynamic Graphical Models from Multivariate Time-series Data	claim
19	23	Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization	claim
20	23	Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs	claim
21	22	Inferring Unusual Crowd Events from Mobile Phone Call Detail Records	claim
22	22	Visual Analytics Methodology for Scalable and Privacy-Respectful Discovery of Place Semantics from Episodic Mobility Data	claim
23	20	Generalized Modularity for Community Detection	claim
24	19	Safe Exploration for Active Learning with Gaussian Processes	claim
25	19	Dealing with Overlapping Clustering: A Constraint-based Approach to Algorithm Selection	claim
26	18	Structured Regularizer for Neural Higher-Order Sequence Models	claim
27	18	(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories	claim
28	17	Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks	claim
29	17	Concurrent Inference of Topic Models and Distributed Vector Representations	claim
30	17	Metalearning for Multiple-Domain Transfer Learning	claim
31	17	Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach	claim
32	16	A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance Comparisons	claim
33	16	Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised Data	claim
34	16	Robust Representation for Domain Adaptation in Network Security	claim
35	15	Fuzzy Clustering of Series Using Quantile Autocovariances	claim
36	15	Progressive and Iterative Approaches for Time Series Averaging	claim
37	15	Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation	claim
38	15	Visualization Support to Interactive Cluster Analysis	claim
39	14	Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization	claim
40	14	Discovering Neutrinos Through Data Analytics	claim
41	14	Interactively Exploring Supply and Demand in the UK Independent Music Scene	claim
42	14	Evidence of Temporal Artifacts in Social Networks	claim
43	14	Preference-Based Meta-Learning using Dyad Ranking: Recommending Algorithms in Cold-Start Situations	claim
44	14	The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty	claim
45	13	Convex Factorization Machines	claim
46	13	Algorithm Selection via Meta-learning and Sample-based Active Testing	claim
47	13	Performance Analysis of Data Mining Techniques for Improving the Accuracy of Wind Power Forecast Combination	claim
48	13	Listener-Aware Music Recommendation from Sensor and Social Media Data	claim
49	12	A Novel Central Voltage-Control Strategy for Smart LV Distribution Networks	claim
50	12	An Ensemble Learning Approach for the Kaggle Taxi Travel Time Prediction Challenge	claim
51	12	Scalable Metric Learning for Co-Embedding	claim
52	12	Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection	claim
53	11	Scalable Bayesian Matrix Factorization	claim
54	11	Model Reuse with Subgroup Discovery	claim
55	11	Online Analysis of High-Volume Data Streams in Astroparticle Physics	claim
56	11	Superset Learning Based on Generalized Loss Minimization	claim
57	11	Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning	claim
58	11	An Exploratory Analysis of Multiple Multivariate Time Series	claim
59	11	Real Time Detection and Tracking of Spatial Event Clusters	claim
60	10	The Difference and the Norm - Characterising Similarities and Differences Between Databases	claim
61	10	Higher Order Fused Regularization for Supervised Learning with Grouped Parameters	claim
62	10	Learning Data Set Similarities for Hyperparameter Optimization Initializations	claim
63	10	CourboSpark: Decision Tree for Time-series on Spark	claim
64	10	Limitations of Using Constraint Set Utility in Semi-Supervised Clustering	claim
65	10	Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes	claim
66	10	Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms	claim
67	9	Discovering Opinion Spammer Groups by Network Footprints	claim
68	9	A Peculiarity-based Exploration of Syntactical Patterns: a Computational Study of Stylistics	claim
69	9	Solving Prediction Games with Parallel Batch Gradient Descent	claim
70	9	Imitative Learning for Online Planning in Microgrids	claim
71	9	Handling Oversampling in Dynamic Networks Using Link Prediction	claim
72	9	Dyad Ranking Using A Bilinear Plackett-Luce Model	claim
73	8	Named Entity Recognition from Scratch on Social Media	claim
74	8	Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning	claim
75	8	Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization	claim
76	8	Model Reuse with Bike Rental Station Data	claim
77	8	Will This Paper Increase Your h-index?	claim
78	7	Temporal Density Extrapolation	claim
79	7	Quantifying Energy Demand in Mountainous Areas	claim
80	7	Sequential Pattern Mining on Multimedia Data	claim
81	7	SVR-based Modelling for the MoReBikeS Challenge: Analysis, Visualisation and Prediction	claim
82	6	ProbLog2: Probabilistic Logic Programming	claim
83	5	Probabilistic Programming in Anglican	claim

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