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» Using model knowledge for learning inverse dynamics
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141
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KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 4 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
136
Voted
IDEAL
2000
Springer
15 years 7 months ago
Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data
Abstract. In this study we used a new agent-based approach, an artificial market approach, to analyze the ways that dealers process the information in financial news. We compared b...
Kiyoshi Izumi, Kazuhiro Ueda
123
Voted
IJIT
2004
15 years 5 months ago
Fuzzy Wavelet Neural Network For Control of Dynamic Plants
The development of control system for the dynamic processes characterizing uncertainties needs the creating of the proper knowledge base for the controller. In this paper, to solve...
Rahib Hidayat Abiyev
157
Voted
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 5 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
144
Voted
IJCAI
2003
15 years 5 months ago
Where is ...? Learning and Utilizing Motion Patterns of Persons with Mobile Robots
Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding to their intentions....
Grzegorz Cielniak, Maren Bennewitz, Wolfram Burgar...