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» Evaluating machine creativity
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IJCAI
2003
15 years 7 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
AC
2008
Springer
15 years 5 months ago
DARPA's HPCS Program- History, Models, Tools, Languages
The historical context surrounding the birth of the DARPA High Productivity Computing Systems (HPCS) program is important for understanding why federal government agencies launche...
Jack Dongarra, Robert Graybill, William Harrod, Ro...
152
Voted
IS
2007
15 years 5 months ago
A co-training framework for searching XML documents
In this paper, we study the use of XML tagged keywords (or simply key-tags) to search an XML fragment in a collection of XML documents. We present techniques that are able to empl...
Wilfred Ng, Ho Lam Lau
AI
1999
Springer
15 years 5 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
PIMRC
2010
IEEE
15 years 3 months ago
Energy-delay tradeoff analysis in embedded M2M networks with channel coding
Abstract--Machine-to-Machine (M2M), an emerging communications paradigm, is a facilitator of data flows between machines used, e.g., in mission-critical applications. Focusing in t...
Tatjana Predojev, Jesus Alonso-Zarate, Mischa Dohl...