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130
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GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
15 years 4 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
IPM
2008
100views more  IPM 2008»
15 years 3 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
JAR
2007
104views more  JAR 2007»
15 years 3 months ago
Student Proof Exercises Using MathsTiles and Isabelle/HOL in an Intelligent Book
The Intelligent Book project aims to improve online education by designing materials that can model the subject matter they teach, in the manner of a Reactive Learning Environment...
William Billingsley, Peter Robinson
126
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ATAL
2003
Springer
15 years 8 months ago
Team formation and communication restrictions in collectives
A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...
Adrian K. Agogino, Kagan Tumer
138
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IMC
2009
ACM
15 years 10 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...