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» On the Need for a Neural Abstract Machine
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DOLAP
2007
ACM
13 years 10 months ago
Optimal chunking of large multidimensional arrays for data warehousing
ss domain. Using this more abstract approach means that more data sources of varying types can be incorporated with less effort, and such heterogeneous data sources might be very r...
Ekow J. Otoo, Doron Rotem, Sridhar Seshadri
BPM
2006
Springer
153views Business» more  BPM 2006»
13 years 10 months ago
Shop Floor Information Management and SOA
Service Science is a new term for a new paradigm which aims at the solution of an obvious problem: How to make the increasing fusion of business and IT successful in a dynamically ...
Konrad Pfadenhauer, Burkhard Kittl, Schahram Dustd...
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
13 years 8 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
ATVA
2006
Springer
109views Hardware» more  ATVA 2006»
13 years 8 months ago
Proactive Leader Election in Asynchronous Shared Memory Systems
Abstract. In this paper, we give an algorithm for fault-tolerant proactive leader election in asynchronous shared memory systems, and later its formal verification. Roughly speakin...
M. C. Dharmadeep, K. Gopinath
EKAW
2008
Springer
13 years 8 months ago
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
Abstract. Dealing with heterogeneous ontologies by means of semantic mappings has become an important area of research and a number of systems for discovering mappings between onto...
Christian Meilicke, Johanna Völker, Heiner St...