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» Structured Sparsity in Structured Prediction
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ESANN
2003
13 years 9 months ago
Self-organizing maps and functional networks for local dynamic modeling
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Noelia Sánchez-Maroño, Oscar Fontenl...
NIPS
2004
13 years 9 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus
AAAI
1998
13 years 9 months ago
Which Search Problems Are Random?
The typical difficulty of various NP-hard problems varies with simple parameters describing their structure. This behavior is largely independent of the search algorithm, but depe...
Tad Hogg
AAAI
1998
13 years 9 months ago
Answering Questions for an Organization Online
TheWorldWideWebcontinues to challenge organizations to makeonline access to their expertise convenient for their clients. Onemeansof expertise access that manyclients find conveni...
Vladimir A. Kulyukin, Kristian J. Hammond, Robin D...
AAAI
2000
13 years 9 months ago
A Mutually Beneficial Integration of Data Mining and Information Extraction
Text mining concerns applying data mining techniques to unstructured text. Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data...
Un Yong Nahm, Raymond J. Mooney