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» Multidimensional Data Modeling for Complex Data
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ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 6 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
STOC
2001
ACM
151views Algorithms» more  STOC 2001»
16 years 7 months ago
On the cell probe complexity of membership and perfect hashing
We study two fundamental static data structure problems, membership and perfect hashing, in Yao's cell probe model. The first space and bit probe optimal worst case upper bou...
Rasmus Pagh
FQAS
2009
Springer
157views Database» more  FQAS 2009»
16 years 1 months ago
On Fuzzy vs. Metric Similarity Search in Complex Databases
Abstract. The task of similarity search is widely used in various areas of computing, including multimedia databases, data mining, bioinformatics, social networks, etc. For a long ...
Alan Eckhardt, Tomás Skopal, Peter Vojt&aac...
CODES
2006
IEEE
16 years 23 days ago
A formal approach to robustness maximization of complex heterogeneous embedded systems
Embedded system optimization typically considers objectives such as cost, timing, buffer sizes and power consumption. Robustness criteria, i.e. sensitivity of the system to variat...
Arne Hamann, Razvan Racu, Rolf Ernst
APCHI
2004
IEEE
15 years 10 months ago
Designing for Flow in a Complex Activity
One component of a user's interaction with computer systems is commonly referred to as `flow'. Flow is an important consideration in interactive system design as it enca...
Jon M. Pearce, Steve Howard