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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 16 days ago
Cascaded generic XCS to learn about reminding preferences
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...
Nadine Richard, Samuel Tardieu, Seiji Yamada
CORR
2000
Springer
75views Education» more  CORR 2000»
15 years 6 months ago
A Learning Approach to Shallow Parsing
A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors ...
Marcia Muñoz, Vasin Punyakanok, Dan Roth, D...
CONEXT
2006
ACM
16 years 10 days ago
Learning for accurate classification of real-time traffic
Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow usin...
Wei Li, Andrew W. Moore
MM
2005
ACM
150views Multimedia» more  MM 2005»
15 years 12 months ago
Exciting event detection in broadcast soccer video with mid-level description and incremental learning
In this paper, we propose a method for exciting event detection in broadcast soccer video with mid-level description and SVM-based incremental learning. In the method, video frame...
Qixiang Ye, Qingming Huang, Wen Gao, Shuqiang Jian...