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pro vyhledávání: '"Viswanathan, Raajay"'
Autor:
Viswanathan, Raajay, Akella, Aditya
Existing distributed machine learning (DML) systems focus on improving the computational efficiency of distributed learning, whereas communication aspects have received less attention. Many DML systems treat the network as a blackbox. Thus, DML algor
Externí odkaz:
http://arxiv.org/abs/1907.00434
Today's data analytics frameworks are compute-centric, with analytics execution almost entirely dependent on the pre-determined physical structure of the high-level computation. Relegating intermediate data to a second class entity in this manner hur
Externí odkaz:
http://arxiv.org/abs/1703.10272
In this paper, we consider the problem of estimating self-tuning histograms using query workloads. To this end, we propose a general learning theoretic formulation. Specifically, we use query feedback from a workload as training data to estimate a hi
Externí odkaz:
http://arxiv.org/abs/1111.7295
We address the problem of finding patterns from multi-neuronal spike trains that give us insights into the multi-neuronal codes used in the brain and help us design better brain computer interfaces. We focus on the synchronous firings of groups of ne
Externí odkaz:
http://arxiv.org/abs/1006.1543
Frequent episode discovery is a popular framework for pattern discovery in event streams. An episode is a partially ordered set of nodes with each node associated with an event type. Efficient (and separate) algorithms exist for episode discovery whe
Externí odkaz:
http://arxiv.org/abs/0902.1227
Publikováno v:
IndraStra Global.
Recent work has made the case for geo-distributed analytics, where data collected and stored at multiple datacenters and edge sites world-wide is analyzed in situ to drive operational and management decisions. A key issue in such systems is ensuring
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Akademický článek
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Autor:
Gember-Jacobson, Aaron, Viswanathan, Raajay, Prakash, Chaithan, Grandl, Robert, Khalid, Junaid, Das, Sourav, Akella, Aditya
Publikováno v:
ACM SIGCOMM Computer Communication Review; August 2014, Vol. 44 Issue: 4 p163-174, 12p