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» Using Machine Learning Techniques to Interpret WH-questions
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IROS
2006
IEEE
274views Robotics» more  IROS 2006»
15 years 7 months ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...
IAT
2005
IEEE
15 years 7 months ago
Exploiting Multi-Agent Interactions for Identifying the Best-Payoff Information Source
In many different applications on the Web, distributed agents would like to discover and access high quality information sources. This is a challenging problem since an agent does...
Young-Woo Seo, Katia P. Sycara
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 6 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
IDEAL
2005
Springer
15 years 6 months ago
Probabilistic Data Generation for Deduplication and Data Linkage
Abstract. In many data mining projects the data to be analysed contains personal information, like names and addresses. Cleaning and preprocessing of such data likely involves dedu...
Peter Christen
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 6 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson