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Used together with:
stream (6)
approxim (6)
algorithm (5)
regress (4)
estim (4)

Stem quantil$ (all stems)

24 papers:

ICMLICML-2015-SzorenyiBWH #approach #multi
Qualitative Multi-Armed Bandits: A Quantile-Based Approach (BS, RBF, PW, EH), pp. 1660–1668.
SIGMODSIGMOD-2013-WangLYC #case study #data type
Quantiles over data streams: an experimental study (LW, GL, KY, GC), pp. 737–748.
FoSSaCSFoSSaCS-2013-UmmelsB #markov #modelling
Computing Quantiles in Markov Reward Models (MU, CB), pp. 353–368.
The Cross-Entropy Method Optimizes for Quantiles (SG, AW, MLL), pp. 1193–1201.
ICMLICML-c3-2013-YangMM #scalability
Quantile Regression for Large-scale Applications (JY, XM, MWM), pp. 881–887.
ASPLOSASPLOS-2013-OliveiraFDHS #why
Why you should care about quantile regression (ABdO, SF, AD, MH, PFS), pp. 207–218.
ICMLICML-2012-BoukouvalasBC #process #using
Gaussian Process Quantile Regression using Expectation Propagation (AB, RB, DC), p. 123.
SIGMODSIGMOD-2011-HuangWYL #algorithm #network
Sampling based algorithms for quantile computation in sensor networks (ZH, LW, KY, YL), pp. 745–756.
SIGMODSIGMOD-2010-TaoYSPL #summary
Logging every footstep: quantile summaries for the entire history (YT, KY, CS, JP, FL), pp. 639–650.
PODSPODS-2009-YiZ #distributed
Optimal tracking of distributed heavy hitters and quantiles (KY, QZ), pp. 167–174.
ICMLICML-2008-Rosset #kernel
Bi-level path following for cross validated solution of kernel quantile regression (SR), pp. 840–847.
ICDARICDAR-2007-RamirezTBR #algorithm #linear #robust
Quantile Linear Algorithm for Robust Binarization of Digitalized Letters (MR, ET, MB, RR), pp. 1158–1162.
ICALPICALP-2007-GuhaM #bound #estimation #multi #streaming
Lower Bounds for Quantile Estimation in Random-Order and Multi-pass Streaming (SG, AM), pp. 704–715.
CIKMCIKM-2007-ZhangW #algorithm #approximate #data type #performance
An efficient algorithm for approximate biased quantile computation in data streams (QZ, WW), pp. 1023–1026.
KDDKDD-2007-PerlichRLZ #estimation #modelling
High-quantile modeling for customer wallet estimation and other applications (CP, SR, RDL, BZ), pp. 977–985.
PODSPODS-2006-CormodeKMS #algorithm #data type
Space- and time-efficient deterministic algorithms for biased quantiles over data streams (GC, FK, SM, DS), pp. 263–272.
PODSPODS-2006-GuhaM #approximate #order
Approximate quantiles and the order of the stream (SG, AM), pp. 273–279.
SIGMODSIGMOD-2005-CormodeGMR #approximate #distributed
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles (GC, MNG, SM, RR), pp. 25–36.
SIGMODSIGMOD-2005-GovindarajuRM #approximate #mining #performance #using
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors (NKG, NR, DM), pp. 611–622.
PODSPODS-2004-ArasuM #approximate
Approximate Counts and Quantiles over Sliding Windows (AA, GSM), pp. 286–296.
VLDBVLDB-2002-GilbertKMS #how #maintenance
How to Summarize the Universe: Dynamic Maintenance of Quantiles (ACG, YK, SM, MS), pp. 454–465.
KDDKDD-2000-ChenLP #estimation #incremental
Incremental quantile estimation for massive tracking (FC, DL, JCP), pp. 516–522.
SIGMODSIGMOD-1998-RajagopalanML #approximate #memory management
Approximate Medians and other Quantiles in One Pass and with Limited Memory (GSM, SR, BGL), pp. 426–435.
VLDBVLDB-1997-AlsabtiRS #algorithm
A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data (KA, SR, VS), pp. 346–355.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.