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» Network Performance Assessment for Neurofuzzy Data Modelling
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191
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SIGIR
2012
ACM
13 years 7 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
178
Voted
CCS
2008
ACM
15 years 6 months ago
The risk-utility tradeoff for IP address truncation
Network operators are reluctant to share traffic data due to security and privacy concerns. Consequently, there is a lack of publicly available traces for validating and generaliz...
Martin Burkhart, Daniela Brauckhoff, Martin May, E...
IJCNN
2000
IEEE
15 years 8 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
FLAIRS
2006
15 years 6 months ago
Fuzzy Model Optimization Using Genetic Algorithm for Aircraft Engine Diagnosis
An accurate and up-to-date diagnostic model is critical for economic aircraft engine operation. However, for many commercial airline fleets, monitoring and diagnosing engine fault...
LiJie Yu, Daniel J. Cleary, Mark D. Osborn, Vrinda...
VLDB
2007
ACM
122views Database» more  VLDB 2007»
16 years 4 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh