Stem likelihood$ (all stems)

63 papers:

ICML-2015-FlaxmanWNNS #performance #process

Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods (SF, AGW, DN, HN, AJS), pp. 607–616.

ICML-2015-HayashiMF

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood (KH, SiM, RF), pp. 1358–1366.

ICML-2015-YuanHTLC #modelling

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood (XY, RH, ET, RL, LC), pp. 1254–1263.

KDD-2015-LeeWK #consistency #constraints #difference #privacy

Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints (JL, YW, DK), pp. 635–644.

ICML-c2-2014-ChagantyL #modelling #using #visual notation

Estimating Latent-Variable Graphical Models using Moments and Likelihoods (ATC, PL), pp. 1872–1880.

DRR-2013-SrihariKTB #using #verification

Combining evidence using likelihood ratios in writer verification (SNS, DK, YT, GRB).

SIGMOD-2013-YakoutBE #automation #bound #scalability

Don’t be SCAREd: use SCalable Automatic REpairing with maximal likelihood and bounded changes (MY, LBE, AKE), pp. 553–564.

CIKM-2012-LvZ #generative #query

Query likelihood with negative query generation (YL, CZ), pp. 1799–1803.

ICML-2012-LiuI #distributed #estimation #parametricity #pseudo

Distributed Parameter Estimation via Pseudo-likelihood (QL, ATI), p. 182.

ICPR-2012-MinKCK #approach #detection #higher-order #using

A superpixel MRF approach using high-order likelihood for moving object detection (JM, HK, JC, ISK), pp. 266–269.

ICPR-2012-YasudaKWT #estimation #strict

Composite likelihood estimation for restricted Boltzmann machines (MY, SK, YW, KT), pp. 2234–2237.

KDD-2012-HiraiY #clustering #detection #normalisation #using

Detecting changes of clustering structures using normalized maximum likelihood coding (SH, KY), pp. 343–351.

SAC-2012-IkemotoDO #pseudo #reliability

Estimating software reliability via pseudo maximum likelihood method (SI, TD, HO), pp. 1171–1176.

DUXU-v2-2011-PohlmeyerB #analysis

A Conjoint Analysis of Attributes Affecting the Likelihood of Technology Use (AEP, LTMB), pp. 303–312.

KEOD-2011-LimYSH #metric #modelling #robust #semantics

Robust Semantic World Modeling by Beta Measurement Likelihood in a Dynamic Indoor Environment (GHL, CY, IHS, SWH), pp. 311–316.

ICPR-2010-AriA #estimation #modelling #optimisation #using

Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization (CA, SA), pp. 746–749.

ICPR-2010-DengH #composition #detection #exponential #process

Voice Activity Detection Based on Complex Exponential Atomic Decomposition and Likelihood Ratio Test (SD, JH), pp. 89–92.

ICPR-2010-Lei #distance #using #verification

Combining the Likelihood and the Kullback-Leibler Distance in Estimating the Universal Background Model for Speaker Verification Using SVM (ZL), pp. 4553–4556.

ICPR-2010-NicolaouGP #classification

Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space (MAN, HG, MP), pp. 3695–3699.

ICST-2010-BelliLBS #detection #fault #sequence #testing

Fault Detection Likelihood of Test Sequence Length (FB, ML, CJB, HAS), pp. 402–411.

MSR-2009-Kuhn #automation #component #evolution #source code #using #word

Automatic labeling of software components and their evolution using log-likelihood ratio of word frequencies in source code (AK), pp. 175–178.

CIKM-2009-MeijWR #modelling #normalisation #query

A query model based on normalized log-likelihood (EM, WW, MdR), pp. 1903–1906.

KDD-2009-FrenoTG #estimation #hybrid #pseudo #random #scalability

Scalable pseudo-likelihood estimation in hybrid random fields (AF, ET, MG), pp. 319–328.

ICML-2008-DembczynskiKS

Maximum likelihood rule ensembles (KD, WK, RS), pp. 224–231.

ICML-2008-KuzelkaZ #estimation #first-order #performance

Fast estimation of first-order clause coverage through randomization and maximum likelihood (OK, FZ), pp. 504–511.

ICML-2008-LebanonZ #modelling

Local likelihood modeling of temporal text streams (GL, YZ), pp. 552–559.

ICML-2008-Tieleman #approximate #strict #using

Training restricted Boltzmann machines using approximations to the likelihood gradient (TT), pp. 1064–1071.

ICPR-2008-JinLH #learning #prototype

Prototype learning with margin-based conditional log-likelihood loss (XJ, CLL, XH), pp. 1–4.

ICPR-2008-PiccardiGO #classification #modelling #reduction

Maximum-likelihood dimensionality reduction in gaussian mixture models with an application to object classification (MP, HG, AFO), pp. 1–4.

ICPR-2008-SezerMAC #detection #markov #named

NorMaL: Non-compact Markovian Likelihood for change detection (OGS, JLM, YA, DBC), pp. 1–4.

ICPR-2008-TsukamotoMW #estimation

Tracking a firefly — a stable likelihood estimation for variable appearance object tracking (YT, YM, TW), pp. 1–4.

SAC-2008-LevadaMTS #estimation #higher-order #parametricity #pseudo

Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood (ALML, NDAM, AT, DHPS), pp. 1733–1737.

CIKM-2007-BacheBC #modelling #probability

Language models, probability of relevance and relevance likelihood (RB, MB, FC), pp. 853–856.

SEKE-2007-HewettKM #order #predict

Predicting Order of Likelihood of Defective Software Modules (RH, PK, AvdM), pp. 93–98.

SIGIR-2007-ZhangX #estimation #modelling #performance

Fast exact maximum likelihood estimation for mixture of language models (YZ, WX), pp. 865–866.

ICML-2006-BezakovaKS #graph #using

Graph model selection using maximum likelihood (IB, AK, RS), pp. 105–112.

ICPR-v3-2006-JoshiNLS #approach #correlation

A Maximum-Likelihood Approach to Symbolic Indirect Correlation (AJ, GN, DPL, SCS), pp. 99–103.

SAC-2006-ParkCS #search-based #visual notation

Visual exploration of genetic likelihood space (JWP, JFC, AMS), pp. 1335–1340.

ICML-2005-SalojarviPK #algorithm

Expectation maximization algorithms for conditional likelihoods (JS, KP, SK), pp. 752–759.

ICML-2004-BanerjeeDGM #analysis #estimation #exponential #product line

An information theoretic analysis of maximum likelihood mixture estimation for exponential families (AB, ISD, JG, SM).

ICML-2004-GrossmanD #classification #learning #network

Learning Bayesian network classifiers by maximizing conditional likelihood (DG, PMD).

ICPR-v3-2004-JagmohanSA #estimation #kernel #using

Dense Stereo Matching Using Kernel Maximum Likelihood Estimation (AJ, MKS, NA), pp. 28–31.

ICPR-v4-2004-Cheung #algorithm #automation #clustering #towards

A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection (YmC), pp. 633–636.

ICPR-v4-2004-McKennaN #learning #using

Learning Spatial Context from Tracking using Penalised Likelihoods (SJM, HNC), pp. 138–141.

SAC-2004-StamatakisLM #performance #scalability

A fast program for maximum likelihood-based inference of large phylogenetic trees (AS, TL, HM), pp. 197–201.

ICSM-2003-DaCostaDMP #security

Characterizing the “Security Vulnerability Likelihood” of Software Functions (DD, CD, SM, VP), p. 266–?.

DAC-2002-VrudhulaBS #estimation

Estimation of the likelihood of capacitive coupling noise (SBKV, DB, SS), pp. 653–658.

ICML-2002-LuPS

Investigating the Maximum Likelihood Alternative to TD(λ) (FL, RP, DS), pp. 403–410.

ICPR-v1-2002-JunTD #estimation #multi #segmentation

Multiple Objects Segmentation Based on Maximum-Likelihood Estimation and Optimum Entropy-Distribution (MLE-OED) (JX, HTT, DX), p. 707–?.

ICPR-v3-2002-IshideraLD #generative #image #recognition #word

Likelihood Word Image Generation Model for Word Recognition (EI, SML, ACD), pp. 172–175.

ICPR-v4-2002-ZucchelliSC02a #estimation

Maximum Likelihood Structure and Motion Estimation Integrated over Tim (MZ, JSV, HIC), pp. 260–263.

ICDAR-2001-SendaY #approach #recognition

A Maximum-Likelihood Approach to Segmentation-Based Recognition of Unconstrained Handwriting Text (SS, KY), pp. 184–188.

SIGIR-2001-ZhangC #estimation

Maximum Likelihood Estimation for Filtering Thresholds (YZ, JPC), pp. 294–302.

ICPR-v1-2000-SebeL

Maximum Likelihood Stereo Matching (NS, MSL), pp. 1900–1903.

ICPR-v2-2000-Takeda #estimation

Maximum Likelihood Estimation of a Sensor Configuration in a Polygonal Environment (HT), pp. 2446–2450.

ICPR-v3-2000-CohenD #estimation #image

Motion Estimation in Noisy Ultrasound Images by Maximum Likelihood (BC, ID), pp. 3186–3189.

ICPR-v3-2000-MateiM #bias #reduction

Reduction of Bias in Maximum Likelihood Ellipse Fitting (BM, PM), pp. 3802–3806.

ICPR-1998-Gimelfarb98a #image #modelling #on the #random

On the maximum likelihood potential estimates for Gibbs random field image models (GLG), pp. 1598–1600.

ICPR-1998-KanekoH #detection #using #video

Cut detection technique from MPEG compressed video using likelihood ratio test (TK, OH), pp. 1476–1480.

ICPR-1998-NicollsJ #estimation

Maximum likelihood estimation of Toeplitz-block-Toeplitz covariances in the presence of subspace interference (FN, GdJ), pp. 1595–1597.

SAC-1998-LimaR #classification

Maximum likelihood based classification for the microstructure of human sleep (JAL, ACR), pp. 60–64.

ICPR-1996-Grim #design #network

Maximum-likelihood design of layered neural networks (JG), pp. 85–89.

STOC-1983-HalpernR #logic

A Logic to Reason about Likelihood (JYH, MOR), pp. 310–319.