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CICLING
2005
Springer
16 years 5 days ago
Incremental Information Extraction Using Tree-Based Context Representations
Abstract. The purpose of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic pro...
Christian Siefkes
ISAAC
2005
Springer
111views Algorithms» more  ISAAC 2005»
16 years 4 days ago
Boosting Spectral Partitioning by Sampling and Iteration
A partition of a set of n items is a grouping of the items into k disjoint classes of equal size. Any partition can be modeled as a graph: the items become the vertices of the grap...
Joachim Giesen, Dieter Mitsche
ECAI
2004
Springer
16 years 1 days ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
SETN
2004
Springer
15 years 12 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
210
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AGENTS
2001
Springer
15 years 11 months ago
Representing social structures in UML
From a software engineering perspective, agent systems are a specialization of object-oriented (OO) systems, in which individual objects have their own threads of control and thei...
H. Van Dyke Parunak, James Odell