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» Machine Learning by Function Decomposition
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COLT
2010
Springer
15 years 2 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
ICML
2008
IEEE
16 years 5 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 ...
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COLT
1999
Springer
15 years 9 months ago
On PAC Learning Using Winnow, Perceptron, and a Perceptron-like Algorithm
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
Rocco A. Servedio
ICALT
2007
IEEE
15 years 11 months ago
Combine Adaptive Education Hypermedia and SCORM compliant Learning Management Systems
The increase of e-learning led to the development of Adaptive Educational Hypermedia Systems (AEHS). The last few years a new research stream was revealed which combines the funct...
Ioannis Kazanidis, Maya Satratzemi
ICALT
2006
IEEE
15 years 11 months ago
Serving Learning and Assessment in SCALE
In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve leaning an...
Maria Grigoriadou, Evangelia Gouli, Agoritsa Gogou...