Advanced Analysis and Learning on Temporal Data: First ECML by Ahlame Douzal-Chouakria, José A. Vilar, Pierre-François

By Ahlame Douzal-Chouakria, José A. Vilar, Pierre-François Marteau

This publication constitutes the refereed court cases of the 1st ECML PKDD Workshop, AALTD 2015, held in Porto, Portugal, in September 2016.
The eleven complete papers provided have been rigorously reviewed and chosen from 22 submissions. the 1st half specializes in studying new representations and embeddings for time sequence type, clustering or for dimensionality aid. the second one half offers techniques on type and clustering with demanding functions on drugs or earth remark information. those works express alternative ways to think about temporal dependency in clustering or type procedures. The final a part of the ebook is devoted to metric studying and time sequence comparability, it addresses the matter of speeding-up the dynamic time warping or facing multi-modal and multi-scale metric studying for time sequence category and clustering.

Show description

Read or Download Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers PDF

Best analysis books

Applied Cost-Benefit Analysis (2nd Edition)

This absolutely up to date re-creation maintains within the vein of its predecessor by way of viewing cost-benefit research as utilized welfare economics, whereas while development at the past framework by way of extending the speculation and offering extra functions in every one chapter.
New for this version are analyses of concept comparable functions in psychological future health, condom social advertising courses, woman fundamental schooling as a way of stopping HIV/AIDS and the pricing of traditional gasoline. offered in an built-in demeanour, the theoretical recommendations are built round the major construction blocks of CBA, corresponding to shadow pricing, distribution weights, the social expense and the marginal expense of public funds.

This version will cement the book's position as an enormous and available textual content within the box and may be of serious curiosity to graduate and undergraduate scholars of welfare economics and microeconomic thought, in addition to executive economists concerned with any zone of public coverage.

Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling

The most tools, options and concerns for engaging in multilevel modeling and research are lined during this booklet. The e-book is an utilized creation to the subject, offering a transparent conceptual figuring out of the problems concerned about multilevel research and should be an invaluable reference device. details on designing multilevel reviews, sampling, checking out and version specification and interpretation of types is equipped.

Bildungsertrage in der Erwerbsgesellschaft. Analysen zur Karrieremobilitat

Wissen gewinnt immer mehr an Bedeutung. Die Folgen für das Verhältnis von Bildung und Beschäftigung sind allerdings erst ansatzweise geklärt. Deshalb werden in diesem Buch ausgewählte Bezüge zwischen Bildung, Weiterbildung und beruflichen Karrieren anhand des sozio-ökonomischen Panels nachgezeichnet.

Systems Analysis Applications to Complex Programs

Surveys the answer of advanced difficulties at nationwide and nearby degrees and descriptions attainable destiny advancements

Extra resources for Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers

Sample text

Authors also thank anonymous reviewers for their fruitful comments as well as data donators. References 1. : Three things everyone should know to improve object retrieval. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2911–2918 (2012) 2. : The great time series classification bake off: an experimental evaluation of recently proposed algorithms. Extended Version. 01711 (2016) 3. : Time-series classification with COTE: the collective of transformation-based ensembles.

Finally, we applied the learned model to the embedded test examples for estimating the generalization performance. We adopted the same procedure for selecting the regularization parameter C of SVM-LIN and for training. When performing PCA for dimension reduction prior training of the SVM classifier, we applied the following procedure: We considered the q first dimensions with highest variance, where q ∈ {a, 2a, . . , 19a} with a being the closest integer of k/20 and k is the dimension of the dissimilarity space.

In: International Conference on Machine Learning (2004) 28. : The Dissimilarity Representation for Pattern Recognition. World Scientific, River Edge (2005) 29. : Prototype selection for dissimilarity-based classifiers. Pattern Recogn. 39(2), 189–208 (2006) 30. : A global averaging method for dynamic time warping, with applications to clustering. Pattern Recogn. 44(3), 678–693 (2011) 31. : Graph embedding in vector spaces by means of prototype selection. , Vento, M. ) GbRPR. LNCS, vol. 4538, pp.

Download PDF sample

Rated 4.88 of 5 – based on 36 votes