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» On the Computational Capabilities of Several Models
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ILP
2007
Springer
15 years 4 months ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
David D. Jensen
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
15 years 10 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu
CONTEXT
1999
Springer
15 years 2 months ago
Contextual Inference in Computational Semantics
Appeared in: P. Bouquet, P. Br´ezillon, L. Serafini, M. Benerecetti, F. Castellani (Eds.), 2nd International and Interdisciplinary Conference on Modeling and Using Context (CONT...
Christof Monz
SADFE
2008
IEEE
15 years 4 months ago
Computer Forensics in Forensis
Different users apply computer forensic systems, models, and terminology in very different ways. They often make incompatible assumptions and reach different conclusions about ...
Sean Peisert, Matt Bishop, Keith Marzullo
IPPS
2005
IEEE
15 years 3 months ago
Predicting Cache Space Contention in Utility Computing Servers
The need to provide performance guarantee in high performance servers has long been neglected. Providing performance guarantee in current and future servers is difficult because ...
Yan Solihin, Fei Guo, Seongbeom Kim