08267nam 22007935 450 99646575190331620200630105005.03-319-71246-210.1007/978-3-319-71246-8(CKB)4100000001381771(DE-He213)978-3-319-71246-8(MiAaPQ)EBC6287272(MiAaPQ)EBC5576582(Au-PeEL)EBL5576582(OCoLC)1018471798(PPN)222227699(EXLCZ)99410000000138177120171229d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMachine Learning and Knowledge Discovery in Databases[electronic resource] European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II /edited by Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens, Sašo Džeroski1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XXXIII, 866 p. 213 illus.) Lecture Notes in Artificial Intelligence ;105353-319-71245-4 Pattern and Sequence Mining -- BeatLex: Summarizing and Forecasting Time Series with Patterns -- Behavioral Constraint Template-Based Sequence Classification -- Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space -- Subjectively Interesting Connecting Trees -- Privacy and Security -- Malware Detection by Analysing Encrypted Network Traffic with Neural Networks -- PEM: Practical Differentially Private System for Large-Scale Cross-Institutional Data Mining -- Probabilistic Models and Methods -- Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources -- Bayesian Inference for Least Squares Temporal Difference Regularization -- Discovery of Causal Models that Contain Latent Variables through Bayesian Scoring of Independence Constraints -- Labeled DBN learning with community structure knowledge -- Multi-view Generative Adversarial Networks -- Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models -- PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach -- Partial Device Fingerprints -- Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies -- Recommendation -- A Regularization Method with Inference of Trust and Distrust in Recommender Systems -- A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations -- Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation -- Regression -- Adaptive Skip-Train Structured Regression for Temporal Networks -- ALADIN: A New Approach for Drug-Target Interaction Prediction -- Co-Regularised Support Vector Regression -- Online Regression with Controlled Label Noise Rate -- Reinforcement Learning -- Generalized Inverse Reinforcement Learning with Linearly Solvable MDP -- Max K-armed bandit: On the ExtremeHunter algorithm and beyond -- Variational Thompson Sampling for Relational Recurrent Bandits -- Subgroup Discovery -- Explaining Deviating Subsets through Explanation Networks -- Flash points: Discovering exceptional pairwise behaviors in vote or rating data -- Time Series and Streams -- A Multiscale Bezier-Representation for Time Series that Supports Elastic Matching -- Arbitrated Ensemble for Time Series Forecasting -- Cost Sensitive Time-series Classification -- Cost-Sensitive Perceptron Decision Trees for Imbalanced Drifting Data Streams -- Efficient Temporal Kernels between Feature Sets for Time Series Classification -- Forecasting and Granger modelling with non-linear dynamical dependencies -- Learning TSK Fuzzy Rules from Data Streams -- Non-Parametric Online AUC Maximization -- On-line Dynamic Time Warping for Streaming Time Series -- PowerCast: Mining and Forecasting Power Grid Sequences -- UAPD: Predicting Urban Anomalies from Spatial-Temporal Data -- Transfer and Multi-Task Learning -- A Novel Rating Pattern Transfer Model for Improving Non-Overlapping Cross-Domain Collaborative Filtering -- Distributed Multi-task Learning for Sensor Network -- Learning task structure via sparsity grouped multitask learning -- Lifelong Learning with Gaussian Processes -- Personalized Tag Recommendation for Images Using Deep Transfer Learning -- Ranking based Multitask Learning of Scoring Functions -- Theoretical Analysis of Domain Adaptation with Optimal Transport -- TSP: Learning Task-Speci_c Pivots for Unsupervised Domain Adaptation -- Unsupervised and Semisupervised Learning -- k2-means for fast and accurate large scale clustering -- A Simple Exponential Family Framework for Zero-Shot Learning -- DeepCluster: A General Clustering Framework based on Deep Learning -- Multi-view Spectral Clustering on Conflicting Views -- Pivot-based Distributed K-Nearest Neighbor Mining.The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track.Lecture Notes in Artificial Intelligence ;10535Data miningArtificial intelligenceOptical data processingApplication softwareComputer securityComputersData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Systems and Data Securityhttps://scigraph.springernature.com/ontologies/product-market-codes/I28060Computing Milieuxhttps://scigraph.springernature.com/ontologies/product-market-codes/I24008Data mining.Artificial intelligence.Optical data processing.Application software.Computer security.Computers.Data Mining and Knowledge Discovery.Artificial Intelligence.Image Processing and Computer Vision.Information Systems Applications (incl. Internet).Systems and Data Security.Computing Milieux.006.31Ceci Michelangeloedthttp://id.loc.gov/vocabulary/relators/edtHollmén Jaakkoedthttp://id.loc.gov/vocabulary/relators/edtTodorovski Ljupčoedthttp://id.loc.gov/vocabulary/relators/edtVens Celineedthttp://id.loc.gov/vocabulary/relators/edtDžeroski Sašoedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465751903316Machine Learning and Knowledge Discovery in Databases773712UNISA01357nas 22004453a 450 99633630480331620221206112718.01931-8707(OCoLC)68664231(CKB)1000000000311605(CONSER)--2006214627(MiAaPQ)40297(EXLCZ)99100000000031160520060511a20069999 s-- aengurcnu||||||||txtrdacontentcrdamediacrrdacarrierDemocracyWashington, D.C. Democracy A Journal of Ideas, Inc.©2006-Title from title screen (viewed July 28, 2006).Refereed/Peer-reviewed1931-8693 DEMOCRACYDemocracyPeriodicalsDemocracyfast(OCoLC)fst00890077Politics and governmentfast(OCoLC)fst01919741United StatesPolitics and government2001-2009PeriodicalsUnited StatesPolitics and government2009-2017PeriodicalsUnited StatesfastPeriodicals.fastDemocracyDemocracy.Politics and government.324.6JOURNAL996336304803316Democracy57557UNISA03156nam 2200637 a 450 991078546060332120230725025731.01-282-91667-X97866129166701-60918-025-9(CKB)2670000000061274(OCoLC)695120461(CaPaEBR)ebrary10432631(SSID)ssj0000435918(PQKBManifestationID)12138750(PQKBTitleCode)TC0000435918(PQKBWorkID)10425261(PQKB)11562921(MiAaPQ)EBC615850(Au-PeEL)EBL615850(CaPaEBR)ebr10432631(CaONFJC)MIL291667(OCoLC)693761411(EXLCZ)99267000000006127420101007d2011 uy 0engurcn|||||||||txtccrEmpowering struggling readers[electronic resource] practices for the middle grades /Leigh A. Hall, Leslie D. Burns, Elizabeth Carr EdwardsNew York Guilford Press20111 online resource (256 p.) Solving problems in the teaching of literacyBibliographic Level Mode of Issuance: Monograph1-60918-024-0 1-60918-023-2 Includes bibliographical references and index.Who are struggling readers? -- Promoting disciplinary reading practices in English language arts -- Designing classroom environments that support literacy development -- Engaging and motivating marginalized readers -- Assessing reading performance and students' funds of knowledge -- Implementing reading comprehension strategies -- Using young adult literature to promote comprehension with struggling readers -- Culturally grounded vocabulary instruction -- Fostering discussions about texts -- Reading texts on the internet -- Using nonprint media and texts to support marginalized readers -- Relevant curriculum and policy for middle school struggling readers -- Conclusion: promising readers.This book provides classroom-tested methods for engaging struggling middle grade readers--even those who appear to have given up--and fostering their success. The emphasis is on constructing respectful, encouraging learning environments that incorporate students' diverse literacies, cultural interests, and prior knowledge and skills into instruction. --from publisher descriptionSolving problems in the teaching of literacy.Content area readingUnited StatesLanguage arts (Middle school)Correlation with content subjectsUnited StatesContent area readingLanguage arts (Middle school)Correlation with content subjects428.4071/2Hall Leigh A1471634Burns Leslie D1153033Edwards Elizabeth Carr1471635MiAaPQMiAaPQMiAaPQBOOK9910785460603321Empowering struggling readers3684022UNINA