1323 search results - page 132 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
IJCAI
2007
14 years 11 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
SIGIR
2011
ACM
14 years 22 days ago
2011
ACM
This work explores the problem of cross-lingual pairwise similarity, where the task is to extract similar pairs of documents across two different languages. Solutions to this pro...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
ML
2008
ACM
14 years 10 months ago
2008
ACM
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
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WSOM
2009
Springer
15 years 4 months ago
2009
Springer
Bag of features is a well established technique for the visual categorisation of objects, categories of objects and textures. One of the most important part of this technique is co...