Now showing items 21-40 of 1650

    • Actions and programs over description logic ontologies 

      Calvanese, D; Lenzerini, M; Riccardo, R; De Giacomo, G (Bozen-Bolzano University Press, 2007)
      We aim at representing and reasoning about actions and (high level) programs over ontologies expressed in Description Logics. This is a critical issue that has resisted good solutions for a long time. In particular, while ...
    • An active learning and training environment for database programming 

      Pahl C; Kenny C (Association for the Advancement of Computers in Education, 2005)
      Active learning facilitated through interactive, self-controlled learning environments differs substantially from traditional instructor-oriented, classroom-based teaching. We present a tool for database programming that ...
    • Active Learning in Collaborative Filtering Recommender Systems 

      Elahi M; Ricci F; Rubens N (Springer, 2014)
      In Collaborative Filtering Recommender Systems user's preferences are expressed in terms of rated items and each rating allows to improve system prediction accuracy. However, not all of the ratings bring the same amount ...
    • Active Learning in Recommender Systems 

      Rubens N; Elahi M; Sugiyama M.; Kaplan D (Springer, 2015)
      In Recommender Systems (RS), a user’s preferences are expressed in terms of rated items, where incorporating each rating may improve the RS’s predictive accuracy. In addition to a user rating items at-will (a passive ...
    • Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective 

      Elahi M; Ricci F; Rubens N (2013)
      The accuracy of collaborative-filtering recommender systems largely depends on three factors: the quality of the rating prediction algorithm, and the quantity and quality of available ratings. While research in the field ...
    • Adapting to natural rating acquisition with combined active learning strategies 

      Elahi M; Ricci F; Rubens N (Springer, 2012)
      The accuracy of collaborative-filtering recommender systems largely depends on the quantity and quality of the ratings added to the system over time. Active learning (AL) aims to improve the quality of ratings by selectively ...
    • Adaptive active learning in recommender systems 

      Elahi M (Springer, 2011)
      Recommender Systems (RSs) generate personalized suggestions to users for items that may be interesting for them. Many RSs use the Collaborative Filtering (CF) technique, where the system gathers some information about the ...
    • An adaptive finite element method for the infinity Laplacian 

      Lakkis O; Pryer T (Springer International Publishing, 2015)
      We construct a finite element method (FEM) for the infinity Laplacian. Solutions of this problem are well known to be singular in nature so we have taken the opportunity to conduct an a posteriori analysis of the method ...
    • Adaptive finite elements for semilinear reaction-diffusion systems on growing domains 

      Venkataraman C; Lakkis O; Madzvamuse A (Springer Berlin Heidelberg, 2013)
      We propose an adaptive finite element method to approximate the solutions to reaction-diffusion systems on time-dependent domains and surfaces. We derive a computable error estimator that provides an upper bound for the ...
    • Adaptive Model for Background Extraction Using Depth Map 

      Sun BY; Tillo T; Xu M (SPRINGER, 2015)
      Depth map has attracted great attention for image and video processing in recent years. Depth map gives one more dimensional information about the images besides color (intensity). Depth is independent of color, which is ...
    • Add Data into Business Process Verification: Bridging the Gap between Theory and Practice 

      De Masellis R; Di Francescomarino C; Ghidini C; Montali M; Tessaris S (AAAI press, 2017)
      The need to extend business process languages with the capability to model complex data objects along with the control flow perspective has lead to significant practical and theoretical advances in the field of Business ...
    • Adding context to Knowledge and Action Bases 

      Calvanese D; Ceylan I; Montali M; Santoso A (arXiv.org e-Print archive, 2014)
      Knowledge and Action Bases (KABs) have been recently proposed as a formal framework to capture the dynamics of systems which manipulate Description Logic (DL) Knowledge Bases (KBs) through action execution. In this work, ...
    • Adding Context to Tableaux for DLs 

      Fu W; Peñaloza R (CEUR, 2012)
      We consider the problem of reasoning with ontologies where every axiom is associated to a context, and contexts are related through a total order. These contexts could represent, for example, a degree of trust associated ...
    • Adding Weight to DL-Lite 

      Artale, A; Calvanese, D; Kontchakov, R; Zakharyaschev, M (CEUR-WS.org, 2009)
      In this paper we extend the logic DL-LiteNbool and its fragments with (i) role inclusions, (ii) qualified number restrictions and (iii) role disjointness, symmetry, asymmetry, reflexivity and irreflexivity constraints. We ...
    • The address connector: Noninvasive synchronization of hierarchical data sources 

      Augsten N; Böhlen MH; Gamper J (SPRINGER LONDON LTD, 2013)
      Different databases often store information about the same or related objects in the real world. To enable collaboration between these databases, data items that refer to the same object must be identified. Residential ...
    • Addressing the new user problem with a personality based user similarity measure 

      Tkalčič M; Kunaver M; Košir A; Tasič J (CEUR-WS.org, 2011)
      The new user problem is a recurring problem in memory based collaborative recommender systems (MBCR). It occurs when a new user is added to the system and there are not enough information to make a good selection of the ...
    • Adopting an agile approach for the development of mobile applications 

      Flora HK; Chande SV; Wang X (Foundation of Computer Science, 2014)
      With the increasing popularity and demand for mobile applications, there has been a significant increase in the number of mobile application development projects. Highly volatile requirements of mobile applications require ...
    • Affective and Personality Corpora 

      Odić A; Košir A; Tkalčič M (Springer, 2016)
      In this chapter we describe publicly available datasets with personality and affective parameters relevant to the research questions covered by this book. We briefly describe the available data, acquisition procedure, and ...
    • Affective Labeling in a Content-Based Recommender System for Images 

      Tkalcic M; Odic A; Kosir A; Tasic J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2013)
      Affective labeling of multimedia content has proved to be useful in recommender systems. In this paper we present a methodology for the implicit acquisition of affective labels for images. It is based on an emotion detection ...