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KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 7 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
CHI
2003
ACM
16 years 7 months ago
Where on-line meets on the streets: experiences with mobile mixed reality games
We describe two games in which online participants collaborated with mobile participants on the city streets. In the first, the players were online and professional performers wer...
Martin Flintham, Steve Benford, Rob Anastasi, Terr...
ALT
2005
Springer
16 years 3 months ago
Gold-Style and Query Learning Under Various Constraints on the Target Class
In language learning, strong relationships between Gold-style models and query models have recently been observed: in some quite general setting Gold-style learners can be replaced...
Sanjay Jain, Steffen Lange, Sandra Zilles
ICCAD
2002
IEEE
92views Hardware» more  ICCAD 2002»
16 years 3 months ago
ECO algorithms for removing overlaps between power rails and signal wires
Design ECO commonly happens in industry due to constraints or target changes from manufacturing, marketing, reliability, or performance. At each step, designers usually want to mo...
Hua Xiang, Kai-Yuan Chao, D. F. Wong