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» Input Modeling Using Quantile Statistical Methods
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ALT
2004
Springer
13 years 11 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
ICDE
2010
IEEE
212views Database» more  ICDE 2010»
13 years 7 months ago
Cleansing uncertain databases leveraging aggregate constraints
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang
BMCBI
2005
250views more  BMCBI 2005»
13 years 7 months ago
FiatFlux - a software for metabolic flux analysis from 13C-glucose experiments
Background: Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to d...
Nicola Zamboni, Eliane Fischer, Uwe Sauer
SIGIR
2002
ACM
13 years 7 months ago
Empirical studies in strategies for Arabic retrieval
This work evaluates a few search strategies for Arabic monolingual and cross-lingual retrieval, using the TREC Arabic corpus as the test-bed. The release by NIST in 2001 of an Ara...
Jinxi Xu, Alexander Fraser, Ralph M. Weischedel
IISWC
2009
IEEE
14 years 2 months ago
Experimental evaluation of N-tier systems: Observation and analysis of multi-bottlenecks
In many areas such as e-commerce, mission-critical N-tier applications have grown increasingly complex. They are characterized by non-stationary workloads (e.g., peak load several...
Simon Malkowski, Markus Hedwig, Calton Pu