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...
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...
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...
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...
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...