Stem multivari$ (all stems)

68 papers:

CASE-2015-SustoM #approach #machine learning #multi #predict

Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach (GAS, SFM), pp. 1218–1223.

DAC-2015-HuangFYZL #estimation #multi #performance

Efficient multivariate moment estimation via Bayesian model fusion for analog and mixed-signal circuits (QH, CF, FY, XZ, XL), p. 6.

CHI-2015-CaoLLT #graph #interactive #mining #multi #named #visual notation

g-Miner: Interactive Visual Group Mining on Multivariate Graphs (NC, YRL, LL, HT), pp. 279–288.

ICML-2015-GalCG #category theory #estimation #multi #process

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data (YG, YC, ZG), pp. 645–654.

ICML-2015-YuCL #learning #multi #online #rank

Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams (RY, DC, YL), pp. 238–247.

TLCA-2015-HofmannM #analysis #multi #term rewriting

Multivariate Amortised Resource Analysis for Term Rewrite Systems (MH, GM), pp. 241–256.

ICML-c2-2014-NguyenMVEB #analysis #correlation #multi

Multivariate Maximal Correlation Analysis (HVN, EM, JV, PE, KB), pp. 775–783.

LATA-2013-FernauHV #analysis #automaton #multi #problem

A Multivariate Analysis of Some DFA Problems (HF, PH, YV), pp. 275–286.

ICML-c2-2013-Lopez-PazHG #dependence #multi #process

Gaussian Process Vine Copulas for Multivariate Dependence (DLP, JMHL, ZG), pp. 10–18.

ICML-c3-2013-WuHG #modelling #multi

Dynamic Covariance Models for Multivariate Financial Time Series (YW, JMHL, ZG), pp. 558–566.

DATE-2012-MaricauJG #analysis #learning #multi #reliability #using

Hierarchical analog circuit reliability analysis using multivariate nonlinear regression and active learning sample selection (EM, DdJ, GGEG), pp. 745–750.

CHI-2012-DunneRLMR #multi #named #network #scalability

GraphTrail: analyzing large multivariate, heterogeneous networks while supporting exploration history (CD, NHR, BL, RAM, GGR), pp. 1663–1672.

ICML-2012-LiuL #modelling #multi #named

Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling (YL, MTB, HL), p. 156.

ICML-2012-XuL #multi

Conditional Sparse Coding and Grouped Multivariate Regression (MX, JDL), p. 116.

ICPR-2012-LiuXFLMK #classification #modelling #multi #statistics

Statistical modeling and signal selection in multivariate time series pattern classification (RL, SX, CF, YwL, YLM, DSK), pp. 2853–2856.

KDD-2012-BatalFHMH #detection #mining #multi

Mining recent temporal patterns for event detection in multivariate time series data (IB, DF, JH, FM, MH), pp. 280–288.

KDD-2012-KimLX #image #multi #predict #process #using #web

Web image prediction using multivariate point processes (GK, FFL, EPX), pp. 1068–1076.

ICST-2012-MasriAZF #fault #locality #multi #visualisation

Enhancing Fault Localization via Multivariate Visualization (WM, RAA, FAZ, NF), pp. 737–741.

CSMR-2011-KohlKPDM #analysis #maintenance #multi #using

Using Multivariate Split Analysis for an Improved Maintenance of Automotive Diagnosis Functions (JK, AK, JPP, AD, SM), pp. 305–308.

HCI-DDA-2011-ChangZDWH #multi #sketching #synthesis

Face Sketch Synthesis via Multivariate Output Regression (LC, MZ, XD, ZW, YH), pp. 555–561.

HIMI-v1-2011-Liu #bibliography #multi #visualisation

Multivariate Data Visualization: A Review from the Perception Aspect (YL), pp. 221–230.

ICEIS-J-2011-NganBL11a #framework #learning #monitoring #multi #query

An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series (CKN, AB, JL), pp. 208–223.

ICEIS-v2-2011-NganBL #framework #learning #monitoring #multi #query

A Service Framework for Learning, Querying and Monitoring Multivariate Time Series (CKN, AB, JL), pp. 92–101.

POPL-2011-HoffmannAH #analysis #multi

Multivariate amortized resource analysis (JH, KA, MH), pp. 357–370.

DATE-2010-GanapathyCGR #estimation #modelling #multi #variability

Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability (SG, RC, AG, AR), pp. 417–422.

ICSM-2010-CanforaCCP #detection #empirical #logic #multi #using

Using multivariate time series and association rules to detect logical change coupling: An empirical study (GC, MC, LC, MDP), pp. 1–10.

ICPR-2010-PerretLCS #component #image #multi

Connected Component Trees for Multivariate Image Processing and Applications in Astronomy (BP, SL, CC, ÉS), pp. 4089–4092.

ICPR-2010-SonaA #multi #random

Multivariate Brain Mapping by Random Subspaces (DS, PA), pp. 2576–2579.

CSMR-2009-ByelasT #diagrams #multi #visualisation

Visualizing Multivariate Attributes on Software Diagrams (HB, ACT), pp. 335–338.

HCI-NIMT-2009-HurY #data analysis #multi #named #sorting

SimulSort: Multivariate Data Exploration through an Enhanced Sorting Technique (IH, JSY), pp. 684–693.

KDD-2009-ShibuyaHK #modelling #multi #quantifier

Causality quantification and its applications: structuring and modeling of multivariate time series (TS, TH, YK), pp. 787–796.

SAC-2009-FarberB #composition #multi

Multivariate root finding with search space decomposition and randomisation (MF, BB), pp. 1142–1143.

ICEIS-AIDSS-2008-NguyenG #approach #evolution #mining #multi

Rule Evolution Approach for Mining Multivariate Time Series Data (VAN, VG), pp. 19–26.

ICPR-2008-MohantaSC #detection #multi #using

Detection of representative frames of a shot using multivariate Wald-Wolfowitz test (PPM, SKS, BC), pp. 1–4.

ICPR-2008-WangZZ #multi

Multivariate Laplace Filter: A heavy-tailed model for target tracking (DW, CZ, XZ), pp. 1–4.

SAC-2008-AnagnostopoulosAH #adaptation #data type #multi #what

Deciding what to observe next: adaptive variable selection for regression in multivariate data streams (CA, NMA, DJH), pp. 961–965.

SAC-2008-PlasMW #multi

Discrete wavelet transform-based multivariate exploration of tissue via imaging mass spectrometry (RVdP, BDM, EW), pp. 1307–1308.

ICML-2007-XuanM #dependence #modelling #multi

Modeling changing dependency structure in multivariate time series (XX, KPM), pp. 1055–1062.

POPL-2007-PearlmutterS #higher-order #lazy evaluation #multi

Lazy multivariate higher-order forward-mode AD (BAP, JMS), pp. 155–160.

CASE-2006-ChangC #industrial #multi

Manufacturability of Multivariate Applications in the Semiconductor Industry (JYCC, FTC), pp. 230–235.

CHI-2006-Wattenberg #graph #multi #visual notation

Visual exploration of multivariate graphs (MW), pp. 811–819.

SOFTVIS-2006-VoineaT #evolution #multi #visualisation

Multiscale and multivariate visualizations of software evolution (LV, ACT), pp. 115–124.

ICPR-v3-2006-FelsbergG #dataset #multi #named #robust #scalability

P-Channels: Robust Multivariate M-Estimation of Large Datasets (MF, GHG), pp. 262–267.

ICML-2005-Joachims #metric #multi #performance

A support vector method for multivariate performance measures (TJ), pp. 377–384.

MLDM-2005-FerrandizB #graph #multi #recursion

Multivariate Discretization by Recursive Supervised Bipartition of Graph (SF, MB), pp. 253–264.

SAC-2005-FoutMA #multi #reduction

Time-varying, multivariate volume data reduction (NF, KLM, JPA), pp. 1224–1230.

FLOPS-2004-BuenoLH #abstract interpretation #analysis #multi #standard

Multivariant Non-failure Analysis via Standard Abstract Interpretation (FB, PLG, MVH), pp. 100–116.

KDD-2003-YuC #distributed #multi

Distributed multivariate regression based on influential observations (HY, ECC), pp. 679–684.

STOC-2001-KlivansS #multi #performance #testing

Randomness efficient identity testing of multivariate polynomials (AK, DAS), pp. 216–223.

ICEIS-v1-2001-PodvalnyKC #generative #multi

Multivariate Distribution Generation (SP, AK, IC), pp. 518–521.

ICPR-v1-2000-NoordamBB #clustering #fuzzy #geometry #image #multi #segmentation

Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation (JCN, WHAMVdB, LMCB), pp. 1462–1465.

ICPR-v2-2000-GrimPS #multi #recognition

Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals (JG, PP, PS), pp. 2585–2589.

KDD-2000-Bay #mining #multi #set

Multivariate discretization of continuous variables for set mining (SDB), pp. 315–319.

ICSE-2000-LeonPW #multi #testing #visualisation

Multivariate visualization in observation-based testing (DL, AP, LJW), pp. 116–125.

ICML-1999-Kadous #learning #multi

Learning Comprehensible Descriptions of Multivariate Time Series (MWK), pp. 454–463.

KDD-1999-Oates #clustering #identification #multi #sequence

Identifying Distinctive Subsequences in Multivariate Time Series by Clustering (TO), pp. 322–326.

STOC-1998-MourrainP #equation #multi #polynomial

Asymptotic Acceleration of Solving Multivariate Polynomial Systems of Equations (BM, VYP), pp. 488–496.

KDD-1997-DeCoste #behaviour #mining #multi

Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes (DD), pp. 151–154.

STOC-1995-Ergun #generative #linear #multi #testing

Testing multivariate linear functions: overcoming the generator bottleneck (FE), pp. 407–416.

STOC-1993-Shamir #generative #multi #on the

On the generation of multivariate polynomials which are hard to factor (AS), pp. 796–804.

KR-1991-Wellman #constraints #multi #simulation

Qualitative Simulation with Multivariate Constraints (MPW), pp. 547–557.

ML-1990-UtgoffB #incremental #multi

An Incremental Method for Finding Multivariate Splits for Decision Trees (PEU, CEB), pp. 58–65.

STOC-1988-Ben-OrT #algorithm #multi

A Deterministic Algorithm for Sparse Multivariate Polynominal Interpolation (Extended Abstract) (MBO, PT), pp. 301–309.

STOC-1983-Lenstra #finite #multi

Factoring Multivariate Polynomials over Finite Fields (Extended Abstract) (AKL), pp. 189–192.

ICALP-1983-GathenK #finite #multi #polynomial

Polynomial-Time Factorization of Multivariate Polynomials over Finite Fields (JvzG, EK), pp. 250–263.

ICALP-1983-Lenstra #multi

Factoring Multivariate Integral Polynomials (AKL), pp. 458–465.

STOC-1982-Kaltofen #multi #polynomial #reduction

A Polynomial Reduction from Multivariate to Bivariate Integral Polynomial Factorization (EK), pp. 261–266.

STOC-1978-Hyafil #evaluation #on the #parallel

On the Parallel Evaluation of Multivariate Polynomials (LH), pp. 193–195.