Stem nonparametr$ (all stems)

75 papers:

ECIR-2015-JameelLB #modelling #parametricity #topic #using

Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers (SJ, WL, LB), pp. 648–659.

ICML-2015-BachemLK #estimation #parametricity

Coresets for Nonparametric Estimation — the Case of DP-Means (OB, ML, AK), pp. 209–217.

ICML-2015-BenavoliCMZ #algorithm #parametricity

A Bayesian nonparametric procedure for comparing algorithms (AB, GC, FM, MZ), pp. 1264–1272.

ICML-2015-DasBB #modelling #order #parametricity

Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models (MKD, TB, CB), pp. 550–559.

ICML-2015-HuHDX #distributed #parametricity #scalability

Large-scale Distributed Dependent Nonparametric Trees (ZH, QH, AD, EPX), pp. 1651–1659.

ICML-2015-SamoR #parametricity #process #scalability

Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes (YLKS, SR), pp. 2227–2236.

ICML-2015-WangZ #clustering #named #parametricity

DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics (YW, JZ), pp. 862–870.

SAC-2015-HendersonGE #clustering #empirical #named #parametricity #performance #probability

EP-MEANS: an efficient nonparametric clustering of empirical probability distributions (KH, BG, TER), pp. 893–900.

ICML-c1-2014-NguyenPNVB #clustering #multi #parametricity

Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts (TVN, DQP, XN, SV, HB), pp. 288–296.

ICML-c2-2014-KrishnamurthyKPW #estimation #parametricity

Nonparametric Estimation of Renyi Divergence and Friends (AK, KK, BP, LAW), pp. 919–927.

ICML-c2-2014-SongADX #estimation #modelling #multi #parametricity

Nonparametric Estimation of Multi-View Latent Variable Models (LS, AA, BD, BX), pp. 640–648.

ICPR-2014-NguyenGVP #framework #parametricity #process #recognition #using

A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data (TN, SKG, SV, DQP), pp. 2017–2022.

ICPR-2014-VellankiDVP #learning #parametricity

Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data (PV, TVD, SV, DQP), pp. 1828–1833.

ICPR-2014-WuMCXC #gesture #invariant #parametricity #recognition #using

View-Invariant Gesture Recognition Using Nonparametric Shape Descriptor (XW, XM, LC, YLX, AC), pp. 544–549.

ICPR-2014-XingY #categorisation #image #parametricity #representation #scalability

Large Scale Image Categorization in Sparse Nonparametric Bayesian Representation (SX, NHCY), pp. 1365–1370.

KDD-2014-YangH #learning #parametricity

Learning with dual heterogeneity: a nonparametric bayes model (HY, JH), pp. 582–590.

ICML-c1-2013-WilliamsonDX #markov #modelling #monte carlo #parallel #parametricity

Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models (SW, AD, EPX), pp. 98–106.

ICML-c3-2013-DuvenaudLGTG #composition #kernel #parametricity

Structure Discovery in Nonparametric Regression through Compositional Kernel Search (DKD, JRL, RBG, JBT, ZG), pp. 1166–1174.

ICML-c3-2013-GuptaPV #approach #learning #multi #parametricity

Factorial Multi-Task Learning : A Bayesian Nonparametric Approach (SKG, DQP, SV), pp. 657–665.

ICML-c3-2013-RossD #constraints #parametricity #process

Nonparametric Mixture of Gaussian Processes with Constraints (JCR, JGD), pp. 1346–1354.

KDD-2013-AhmedS #modelling #parametricity #scalability

The dataminer’s guide to scalable mixed-membership and nonparametric bayesian models (AA, AJS), p. 1529.

KDD-2013-NaganoITUA #modelling #parametricity

Nonparametric hierarchal bayesian modeling in non-contractual heterogeneous survival data (SN, YI, NT, TU, MA), pp. 668–676.

ICML-2012-GershmanHB #parametricity

Nonparametric variational inference (SG, MDH, DMB), p. 35.

ICML-2012-GuL #parametricity

Sequential Nonparametric Regression (HG, JDL), p. 54.

ICML-2012-KimHS #metadata #parametricity #relational

The Nonparametric Metadata Dependent Relational Model (DIK, MCH, EBS), p. 183.

ICML-2012-KimKO #metric #parametricity #process #random #topic

Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data (DK, SK, AHO), p. 90.

ICML-2012-KulisJ #algorithm

Revisiting k-means: New Algorithms via Bayesian Nonparametrics (BK, MIJ), p. 148.

ICML-2012-SarkarCJ #network #parametricity #predict

Nonparametric Link Prediction in Dynamic Networks (PS, DC, MIJ), p. 246.

ICML-2012-XuYQ #composition #data analysis #infinity #modelling #multi #parametricity

Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis (ZX, FY, AQ), p. 218.

ICML-2012-Zhu #feature model #modelling #parametricity #predict

Max-Margin Nonparametric Latent Feature Models for Link Prediction (JZ), p. 154.

ICPR-2012-GuptaPV #parametricity

A nonparametric Bayesian Poisson gamma model for count data (SKG, DQP, SV), pp. 1815–1818.

ICPR-2012-NakamuraHSM #image #named #parametricity #segmentation

HDP-MRF: A hierarchical Nonparametric model for image segmentation (TN, TH, TS, TM), pp. 2254–2257.

ICPR-2012-ZhangGYG #generative #online #parametricity #video

Nonparametric on-line background generation for surveillance video (RZ, WG, AY, MG), pp. 1177–1180.

CHI-2011-WobbrockFGH #analysis #parametricity #rank #using

The aligned rank transform for nonparametric factorial analyses using only anova procedures (JOW, LF, DG, JJH), pp. 143–146.

CIKM-2011-LuLYYH #classification #modelling #parametricity

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis (ML, LL, XY, SY, HH), pp. 2509–2512.

ICML-2011-ChenDC #markov #modelling #parametricity #topic

Topic Modeling with Nonparametric Markov Tree (HC, DBD, LC), pp. 377–384.

ICML-2010-FaivishevskyG #algorithm #clustering #parametricity

Nonparametric Information Theoretic Clustering Algorithm (LF, JG), pp. 351–358.

ICML-2010-GomesK #data type #learning #parametricity

Budgeted Nonparametric Learning from Data Streams (RG, AK), pp. 391–398.

ICML-2010-HoffmanBC #matrix #music #parametricity

Bayesian Nonparametric Matrix Factorization for Recorded Music (MDH, DMB, PRC), pp. 439–446.

ICML-2010-KolarPX #on the #parametricity

On Sparse Nonparametric Conditional Covariance Selection (MK, APP, EPX), pp. 559–566.

ICML-2010-MorimuraSKHT #approximate #learning #parametricity

Nonparametric Return Distribution Approximation for Reinforcement Learning (TM, MS, HK, HH, TT), pp. 799–806.

ICPR-2010-SethP #independence #parametricity

A Test of Granger Non-causality Based on Nonparametric Conditional Independence (SS, JCP), pp. 2620–2623.

ICPR-2010-YangQ #approach #detection #distributed #effectiveness #parametricity

An Effective Decentralized Nonparametric Quickest Detection Approach (DY, HQ), pp. 2278–2281.

ICML-2009-AdamsG #learning #named #parametricity

Archipelago: nonparametric Bayesian semi-supervised learning (RPA, ZG), pp. 1–8.

ICML-2009-AdamsMM #parametricity #process

Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities (RPA, IM, DJCM), pp. 9–16.

ICML-2009-ClemenconV #estimation #parametricity

Nonparametric estimation of the precision-recall curve (SC, NV), pp. 185–192.

ICML-2009-PaisleyC #analysis #parametricity #process

Nonparametric factor analysis with beta process priors (JWP, LC), pp. 777–784.

ICML-2009-YuLZG #collaboration #parametricity #predict #random #scalability #using

Large-scale collaborative prediction using a nonparametric random effects model (KY, JDL, SZ, YG), pp. 1185–1192.

SIGIR-2009-YuZLG #collaboration #matrix #parametricity #performance #scalability

Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.

ICML-2008-AdamsS #modelling #parametricity #process

Gaussian process product models for nonparametric nonstationarity (RPA, OS), pp. 1–8.

ICML-2008-CaronD #parametricity

Sparse Bayesian nonparametric regression (FC, AD), pp. 88–95.

ICPR-2008-Boccignone #analysis #parametricity #video

Nonparametric Bayesian attentive video analysis (GB), pp. 1–4.

ICPR-2008-MeiS #image #parametricity #statistics #using

Unsupervised image embedding using nonparametric statistics (GM, CRS), pp. 1–4.

KDD-2008-SatoYN #graph #information management #parametricity #semantics #using #word

Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model (IS, MY, HN), pp. 587–595.

ICML-2007-HoiJL #constraints #kernel #learning #matrix #parametricity

Learning nonparametric kernel matrices from pairwise constraints (SCHH, RJ, MRL), pp. 361–368.

ICML-2006-Carreira-Perpinan #clustering #parametricity #performance

Fast nonparametric clustering with Gaussian blurring mean-shift (MÁCP), pp. 153–160.

ICPR-v4-2006-LiuYGCZ #generative #parametricity

Nonparametric Background Generation (YL, HY, WG, XC, DZ), pp. 916–919.

ICEIS-v1-2005-AndreouL #analysis #parametricity #reliability

Nonparametric Analysis of Software Reliability: Revealing the Nature of Software Failure Dataseries (ASA, CL), pp. 138–145.

DRR-2004-NagyJKLLMS #classification #parametricity

A nonparametric classifier for unsegmented text (GN, AJ, MSK, YL, DPL, SKM, SCS), pp. 102–108.

ICML-2004-BohteBG #classification #parametricity #polynomial

Nonparametric classification with polynomial MPMC cascades (SMB, MB, GZG).

ICPR-v2-2004-TaoT #analysis #feedback #image #parametricity #retrieval

Nonparametric Discriminant Analysis in Relevance Feedback for Content-Based Image Retrieval (DT, XT), pp. 1013–1016.

ICPR-v3-2004-ArchambeauBPVT #classification #parametricity

Supervised Nonparametric Information Theoretic Classification (CA, TB, VP, MV, JPT), pp. 414–417.

SEKE-2004-FengyanZX #algorithm #kernel #modelling #parametricity #reliability

A Nonparametric Software Reliability Model Based on Kernel Estimator and Optimum Algorithm (HF, QZ, WX), pp. 13–18.

SIGIR-2004-YuTY #framework #information management #parametricity

A nonparametric hierarchical bayesian framework for information filtering (KY, VT, SY), pp. 353–360.

ICML-2000-AndersonMC #approach #optimisation #parametricity

A Nonparametric Approach to Noisy and Costly Optimization (BSA, AWM, DC), pp. 17–24.

ICPR-v1-2000-TangXM #contest #parametricity #segmentation #semantics

Semantically Homogeneous Segmentation with Nonparametric Region Competition (MT, JX, SM), pp. 1648–1651.

ICPR-v3-2000-PagetL #analysis #markov #parametricity #random #testing

Nonparametric Markov Random Field Model Analysis of the MeasTex Test Suite (RP, IDL), pp. 3939–3942.

ICPR-1998-KampkeK #parametricity

Nonparametric optimal binarization (TK, RK), pp. 27–29.

ICPR-1998-KeglKN #classification #learning #network #parametricity

Radial basis function networks in nonparametric classification and function learning (BK, AK, HN), pp. 565–570.

ICPR-1998-Kraaijveld #classification #comparison #parametricity

An experimental comparison of nonparametric classifiers for time-constrained classification tasks (MAK), pp. 428–435.

ICPR-1998-OjalaP #multi #parametricity

Nonparametric multichannel texture description with simple spatial operators (TO, MP), pp. 1052–1056.

ICPR-1998-PagetL #markov #multi #parametricity #random #recognition #synthesis

Texture synthesis and unsupervised recognition with a nonparametric multiscale Markov random field model (RP, DL), pp. 1068–1070.

ICDAR-1997-TsudaM #classification #parametricity

A Nonparametric Density Model for Classification in a High Dimensional Space (KT, MM), pp. 1082–1087.

ICML-1996-GordonS #learning #parametricity #statistics

Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning (GJG, AMS), pp. 200–206.

ICPR-1996-KrzyzakL #classification #complexity #convergence #network #parametricity

Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence (AK, TL), pp. 650–653.