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TNN
1998
111views more  TNN 1998»
13 years 10 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
ICML
2008
IEEE
14 years 11 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
IWCLS
2007
Springer
14 years 4 months ago
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS
Abstract. This paper provides a deep insight into the learning mechanisms of UCS, a learning classifier system (LCS) derived from XCS that works under a supervised learning scheme...
Albert Orriols-Puig, Ester Bernadó-Mansilla
SIGDIAL
2010
13 years 8 months ago
Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
Srinivasan Janarthanam, Oliver Lemon
CHI
2003
ACM
14 years 10 months ago
The kinedit system: affective messages using dynamic texts
Kinetic (dynamic) typography has demonstrated the ability to add significant emotive content and appeal to expressive text, allowing some of the qualities normally found in film a...
Jodi Forlizzi, Johnny C. Lee, Scott E. Hudson