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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 9 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
TON
2012
13 years 9 months ago
Opportunistic Flow-Level Latency Estimation Using Consistent NetFlow
—The inherent measurement support in routers (SNMP counters or NetFlow) is not sufficient to diagnose performance problems in IP networks, especially for flow-specific problem...
Myungjin Lee, Nick G. Duffield, Ramana Rao Kompell...
ISCA
2012
IEEE
261views Hardware» more  ISCA 2012»
13 years 9 months ago
RAIDR: Retention-aware intelligent DRAM refresh
Dynamic random-access memory (DRAM) is the building block of modern main memory systems. DRAM cells must be periodically refreshed to prevent loss of data. These refresh operation...
Jamie Liu, Ben Jaiyen, Richard Veras, Onur Mutlu
SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 9 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
TMC
2012
13 years 9 months ago
Fast Data Collection in Tree-Based Wireless Sensor Networks
—We investigate the following fundamental question—how fast can information be collected from a wireless sensor network organized as tree? To address this, we explore and evalu...
Özlem Durmaz Incel, Amitabha Ghosh, Bhaskar K...
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