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JMLR
2006
169views more  JMLR 2006»
14 years 11 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
129
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EMISA
2010
Springer
14 years 9 months ago
Supporting ad hoc Analyses on Enterprise Models
Abstract: Enterprises are socio technical systems whose management involves multiple stakeholders each demanding for a distinct perspective on the enterprise. A large number of mod...
Sabine Buckl, Jens Gulden, Christian M. Schweda
CLUSTER
2007
IEEE
15 years 3 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
15 years 5 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
SAC
2004
ACM
15 years 5 months ago
Combining analysis and synthesis in a model of a biological cell
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
Ken Webb, Tony White