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SIGIR
2012
ACM
13 years 4 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
ICDCS
2012
IEEE
13 years 4 months ago
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Ji...
219
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SIGMOD
2005
ACM
143views Database» more  SIGMOD 2005»
16 years 1 months ago
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...
SENSYS
2004
ACM
15 years 7 months ago
The flooding time synchronization protocol
Wireless sensor network applications, similarly to other distributed systems, often require a scalable time synchronization service enabling data consistency and coordination. Thi...
Miklós Maróti, Branislav Kusy, Gyula...
ICCAD
2004
IEEE
114views Hardware» more  ICCAD 2004»
15 years 10 months ago
High-level synthesis using computation-unit integrated memories
Abstract— High-level synthesis (HLS) of memory-intensive applications has featured several innovations in terms of enhancements made to the basic memory organization and data lay...
Chao Huang, Srivaths Ravi, Anand Raghunathan, Nira...