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TNN
2010
176views Management» more  TNN 2010»
15 years 2 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
TNN
2010
159views Management» more  TNN 2010»
15 years 2 months ago
Multiple incremental decremental learning of support vector machines
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
Masayuki Karasuyama, Ichiro Takeuchi
ICANN
2011
Springer
14 years 11 months ago
Semi-supervised Learning for WLAN Positioning
Currently the most accurate WLAN positioning systems are based on the fingerprinting approach, where a “radio map” is constructed by modeling how the signal strength measureme...
Teemu Pulkkinen, Teemu Roos, Petri Myllymäki
SBP
2012
Springer
14 years 3 months ago
Lessons Learned in Using Social Media for Disaster Relief - ASU Crisis Response Game
In disasters such as the earthquake in Haiti and the tsunami in Japan, people used social media to ask for help or report injuries. The popularity, efficiency, and ease of use of s...
Mohammad Ali Abbasi, Shamanth Kumar, Jose Augusto ...
ACL
2012
13 years 10 months ago
Applications of GPC Rules and Character Structures in Games for Learning Chinese Characters
We demonstrate applications of psycholinguistic and sublexical information for learning Chinese characters. The knowledge about the grapheme-phoneme conversion (GPC) rules of lang...
Wei-Jie Huang, Chia-Ru Chou, Yu-Lin Tzeng, Chia-Yi...