Stem dirichlet$ (all stems)

72 papers:

ECIR-2015-LiC #effectiveness #using

Effective Healthcare Advertising Using Latent Dirichlet Allocation and Inference Engine (YCL, CCC), pp. 672–677.

ICML-2015-GeCWG #distributed #modelling #process

Distributed Inference for Dirichlet Process Mixture Models (HG, YC, MW, ZG), pp. 2276–2284.

ICML-2015-KimXVS #process

Manifold-valued Dirichlet Processes (HJK, JX, BCV, VS), pp. 1199–1208.

ICML-2015-YenLZRD #approach #modelling #process

A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models (IEHY, XL, KZ, PKR, ISD), pp. 2418–2426.

KDD-2015-DuFASS #clustering #documentation #process

Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams (ND, MF, AA, AJS, LS), pp. 219–228.

KDD-2015-SatoN #online #probability

Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet Allocation (IS, HN), pp. 1035–1044.

CIKM-2014-ZhangLCZW #collaboration

Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering (HZ, ZL, YC, XZ, SW), pp. 1991–1994.

ICML-c2-2014-BenavoliCMZR #process

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process (AB, GC, FM, MZ, FR), pp. 1026–1034.

ICML-c2-2014-GalG #parallel #process

Pitfalls in the use of Parallel Inference for the Dirichlet Process (YG, ZG), pp. 208–216.

ICML-c2-2014-KimO #process #scalability

Hierarchical Dirichlet Scaling Process (DK, AHO), pp. 973–981.

ICPR-2014-QianZX #classification #multi #social

Boosted Multi-modal Supervised Latent Dirichlet Allocation for Social Event Classification (SQ, TZ, CX), pp. 1999–2004.

ICPR-2014-YangYHD #modelling #recognition

A Hierarchical Model Based on Latent Dirichlet Allocation for Action Recognition (SY, CY, WH, XD), pp. 2613–2618.

KDD-2014-ChengL #equivalence #parallel #process

Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence (DC, YL), pp. 562–571.

KDD-2014-YinW #approach #clustering #modelling #multi

A dirichlet multinomial mixture model-based approach for short text clustering (JY, JW), pp. 233–242.

SIGIR-2014-TsolmonL #analysis #modelling #timeline

An event extraction model based on timeline and user analysis in Latent Dirichlet allocation (BT, KSL), pp. 1187–1190.

CIKM-2013-QinZ #functional #process

Functional dirichlet process (LQ, XZ), pp. 1331–1340.

ICML-c1-2013-ZhaiB #infinity #online

Online Latent Dirichlet Allocation with Infinite Vocabulary (KZ, JLBG), pp. 561–569.

KDD-2013-FouldsBDSW #probability

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation (JRF, LB, CD, PS, MW), pp. 446–454.

CASE-2012-NganYY #modelling #process

Modeling of traffic data characteristics by Dirichlet Process Mixtures (HYTN, NHCY, AGOY), pp. 224–229.

CIKM-2012-CaballeroBA #detection #topic

The generalized dirichlet distribution in enhanced topic detection (KLCE, JB, RA), pp. 773–782.

CIKM-2012-ChenHZAHP #category theory #modelling #semantics #visual notation

Modeling semantic relations between visual attributes and object categories via dirichlet forest prior (XC, XH, ZZ, YA, TH, EKP), pp. 1263–1272.

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-MimnoHB #probability

Sparse stochastic inference for latent Dirichlet allocation (DMM, MDH, DMB), p. 197.

ICML-2012-WulsinJL #clustering #modelling #multi #process

A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling (DW, SJ, BL), p. 67.

ICPR-2012-CaoL #categorisation #fuzzy

Type-2 fuzzy labeled latent Dirichlet allocation for human action categorization (XQC, ZQL), pp. 1338–1341.

KDD-2012-SatoKN #process

Practical collapsed variational bayes inference for hierarchical dirichlet process (IS, KK, HN), pp. 105–113.

KDIR-2012-MiaoLWZ #infinity #modelling #process #semantics #topic #wiki

Infinite Topic Modelling for Trend Tracking — Hierarchical Dirichlet Process Approaches with Wikipedia Semantic based Method (YM, CL, HW, LZ), pp. 35–44.

CIKM-2011-ChenHAXHP #image #modelling #process

Perspective hierarchical dirichlet process for user-tagged image modeling (XC, XH, YA, ZX, TH, EKP), pp. 1341–1346.

CIKM-2011-KimO #dependence #process

Accounting for data dependencies within a hierarchical dirichlet process mixture model (DK, AHO), pp. 873–878.

CIKM-2011-WahabzadaKPB #performance #scheduling

More influence means less work: fast latent dirichlet allocation by influence scheduling (MW, KK, AP, CB), pp. 2273–2276.

ICML-2011-KnowlesGG #algorithm #message passing

Message Passing Algorithms for the Dirichlet Diffusion Tree (DAK, JVG, ZG), pp. 721–728.

ICML-2011-ZhuCX #infinity #kernel #process

Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines (JZ, NC, EPX), pp. 617–624.

ICSM-2010-SavageDGP #named #source code #topic #using

TopicXP: Exploring topics in source code using Latent Dirichlet Allocation (TS, BD, MG, DP), pp. 1–6.

ICML-2010-CaniniSG #categorisation #learning #modelling #process

Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process (KRC, MMS, TLG), pp. 151–158.

ICML-2010-VogtPFR #clustering #distance #invariant #process

The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data (JEV, SP, TJF, VR), pp. 1111–1118.

ICML-2010-WilliamsonWHB #modelling #process #topic

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling (SW, CW, KAH, DMB), pp. 1151–1158.

ICPR-2010-IsmailF #clustering #finite #modelling #robust

Possibilistic Clustering Based on Robust Modeling of Finite Generalized Dirichlet Mixture (MMBI, HF), pp. 573–576.

ICPR-2010-ShimosakaINSM #detection #process

Detecting Human Activity Profiles with Dirichlet Enhanced Inhomogeneous Poisson Processes (MS, TI, HN, TS, TM), pp. 4384–4387.

ICPR-2010-UlkerGC #modelling #process

Annealed SMC Samplers for Dirichlet Process Mixture Models (YÜ, BG, ATC), pp. 2808–2811.

KDD-2010-YuHW #clustering #documentation #feature model #process

Document clustering via dirichlet process mixture model with feature selection (GY, RzH, ZW), pp. 763–772.

KDD-2010-ZhangSZL #corpus #correlation #multi #process

Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora (JZ, YS, CZ, SL), pp. 1079–1088.

SIGIR-2010-SeoC10a #estimation #parametricity

Unsupervised estimation of dirichlet smoothing parameters (JS, WBC), pp. 759–760.

MSR-2009-TianRP #automation #categorisation #using

Using Latent Dirichlet Allocation for automatic categorization of software (KT, MR, DP), pp. 163–166.

ECIR-2009-BolelliEG #detection #topic #using

Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation (LB, SE, CLG), pp. 776–780.

ICML-2009-AndrzejewskiZC #modelling #topic

Incorporating domain knowledge into topic modeling via Dirichlet Forest priors (DA, XZ, MC), pp. 25–32.

KDD-2009-XuYL #mining #using

Named entity mining from click-through data using weakly supervised latent dirichlet allocation (GX, SHY, HL), pp. 1365–1374.

RecSys-2009-KrestelFN #recommendation

Latent dirichlet allocation for tag recommendation (RK, PF, WN), pp. 61–68.

SAC-2009-HendersonE #graph #scalability

Applying latent dirichlet allocation to group discovery in large graphs (KH, TER), pp. 1456–1461.

WCRE-2008-LukinsKE #debugging #locality #retrieval #source code #using

Source Code Retrieval for Bug Localization Using Latent Dirichlet Allocation (SKL, NAK, LHE), pp. 155–164.

ICML-2008-QiLDC #multi #process

Multi-task compressive sensing with Dirichlet process priors (YQ, DL, DBD, LC), pp. 768–775.

ICML-2008-RenDC #process

The dynamic hierarchical Dirichlet process (LR, DBD, LC), pp. 824–831.

ICML-2008-WangYQZ #analysis #component #composition #feature model

Dirichlet component analysis: feature extraction for compositional data (HYW, QY, HQ, HZ), pp. 1128–1135.

ICPR-2008-ZareG #detection #process #using

Endmember detection using the Dirichlet process (AZ, PDG), pp. 1–4.

KDD-2008-PorteousNIASW #performance

Fast collapsed gibbs sampling for latent dirichlet allocation (IP, DN, ATI, AUA, PS, MW), pp. 569–577.

SIGIR-2008-XuA08a #modelling #multi #probability #retrieval

A new probabilistic retrieval model based on the dirichlet compound multinomial distribution (ZX, RA), pp. 427–434.

ICML-2007-NiCD #learning #multi #process

Multi-task learning for sequential data via iHMMs and the nested Dirichlet process (KN, LC, DBD), pp. 689–696.

ICML-2007-WangZQ #learning #metric #towards

Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data (HYW, HZ, HQ), pp. 959–966.

KDD-2007-SatoN #documentation #information management #multi #parametricity #topic #using

Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior (IS, HN), pp. 590–598.

ICML-2006-Elkan #approximate #clustering #documentation #multi

Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution (CE), pp. 289–296.

ICML-2006-XingSJT #multi #process #type inference

Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture (EPX, KAS, MIJ, YWT), pp. 1049–1056.

ICML-2005-MadsenKE #modelling #using #word

Modeling word burstiness using the Dirichlet distribution (REM, DK, CE), pp. 545–552.

ICML-2005-VeeramachaneniSA #classification #documentation

Hierarchical Dirichlet model for document classification (SV, DS, PA), pp. 928–935.

ICML-2005-XuTYYK #learning #relational

Dirichlet enhanced relational learning (ZX, VT, KY, SY, HPK), pp. 1004–1011.

MLDM-2005-BouguilaZ #approach #estimation #finite

MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection (NB, DZ), pp. 42–51.

SIGIR-2005-HeO #case study #normalisation

A study of the dirichlet priors for term frequency normalisation (BH, IO), pp. 465–471.

SIGIR-2005-WangST #rank

Dirichlet PageRank (XW, AS, TT), pp. 661–662.

ICML-2004-BleiJ #process

Variational methods for the Dirichlet process (DMB, MIJ).

ICML-2004-XingSJ #process #type inference

Bayesian haplo-type inference via the dirichlet process (EPX, RS, MIJ).

ICPR-v1-2004-BouguilaZ #finite #learning #modelling

A Powreful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications (NB, DZ), pp. 280–283.

SIGIR-2004-Cowans #information retrieval #process #using

Information retrieval using hierarchical dirichlet processes (PJC), pp. 564–565.

MLDM-2003-BouguilaZV #classification #image #novel

Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification (NB, DZ, JV), pp. 172–181.

ICPR-1996-Chernov #theorem

Tauber theorems for Dirichlet series and fractals (VMC), pp. 656–661.