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» New algorithms of the Q-learning type
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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
14 years 7 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
ICCSA
2009
Springer
14 years 2 months ago
VC-GTS: Virtual Cut-Through GTS Allocation Scheme for Voice Traffic in Multihop IEEE 802.15.4 Systems
Supporting multimedia traffic is one of the major challenges for the next generation of wireless personal area networks (WPANs). Especially, the IEEE 802.15.4 WPAN standards specif...
Junwoo Jung, Hoki Baek, Jaesung Lim
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
14 years 2 months ago
Active Learning with Generalized Queries
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Jun Du, Charles X. Ling
IROS
2009
IEEE
185views Robotics» more  IROS 2009»
14 years 2 months ago
Scalable and convergent multi-robot passive and active sensing
— A major barrier preventing the wide employment of mobile networks of robots in tasks such as exploration, mapping, surveillance, and environmental monitoring is the lack of ef...
Elias B. Kosmatopoulos, Lefteris Doitsidis, Konsta...
MICRO
2009
IEEE
326views Hardware» more  MICRO 2009»
14 years 2 months ago
DDT: design and evaluation of a dynamic program analysis for optimizing data structure usage
Data structures define how values being computed are stored and accessed within programs. By recognizing what data structures are being used in an application, tools can make app...
Changhee Jung, Nathan Clark