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ACSW
2004
15 years 8 months ago
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
William D. Smart, Mengjie Zhang
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 10 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee

Book
1636views
17 years 4 months ago
How to Design Programs
One of the best books to learn Scheme and functional programming concepts. The book is freely available online. It is full of examples and exercises suitable for various levels of ...
Matthias Felleisen, Robert Bruce Findler, Matthew ...
ICML
2009
IEEE
16 years 7 months ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever
ICML
2006
IEEE
16 years 7 months ago
On Bayesian bounds
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
Arindam Banerjee