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ISCIS
2009
Springer
15 years 4 months ago
Unsupervised learning of affordance relations on a humanoid robot
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
ICMENS
2003
IEEE
80views Hardware» more  ICMENS 2003»
15 years 3 months ago
Molecular Dynamics Calculations of the Electrostatic Properties of Tubulin and Their Consequences for Microtubules
crystallographic results were made available through the Protein Data Bank (PDB) (entries: ITUB and IJFF) which allowed us to view the 3D atomic resolution structure oftubulin. (se...
J. A. Tuszynski, E. J. Carpenter, E. Crawford, J. ...
SIGMOD
2010
ACM
223views Database» more  SIGMOD 2010»
15 years 2 months ago
Finding maximal cliques in massive networks by H*-graph
Maximal clique enumeration (MCE) is a fundamental problem in graph theory and has important applications in many areas such as social network analysis and bioinformatics. The prob...
James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey X...
BMCBI
2008
122views more  BMCBI 2008»
14 years 10 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
CI
2011
93views more  CI 2011»
14 years 5 months ago
Supporting clinical processes and decisions by hierarchical planning and scheduling
This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment pro...
Juan Fernández-Olivares, Luis A. Castillo, ...