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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 5 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
EUROSYS
2009
ACM
16 years 1 months ago
Improving the responsiveness of internet services with automatic cache placement
The backends of today’s Internet services rely heavily on caching at various layers both to provide faster service to common requests and to reduce load on back-end components. ...
Alexander Rasmussen, Emre Kiciman, V. Benjamin Liv...
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
15 years 11 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
15 years 11 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
CIDM
2007
IEEE
15 years 11 months ago
Handwritten Digit, Recognition Road to Contest victory
— With growing amount of data gathered nowadays, the need for efficient data mining methodologies is getting more and more common. There is a large number of different classifi...
Norbert Jankowski, Krzysztof Grabczewski