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AGENTS
2000
Springer
15 years 2 months ago
Automated assistants to aid humans in understanding team behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
Taylor Raines, Milind Tambe, Stacy Marsella
ICML
2003
IEEE
15 years 10 months ago
Decision-tree Induction from Time-series Data Based on a Standard-example Split Test
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhi...
ECML
2007
Springer
15 years 4 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
ECML
2001
Springer
15 years 2 months ago
Discovering Admissible Simultaneous Equation Models from Observed Data
Conventional work on scienti c discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...
Takashi Washio, Hiroshi Motoda, Yuji Niwa
TMI
2010
172views more  TMI 2010»
14 years 8 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...