Stem logist$ (all stems)

95 papers:

CASE-2015-FantiIU #multimodal

A decision support system for multimodal logistic management (MPF, GI, WU), pp. 63–68.

CASE-2015-LiS #parallel

A parallel computing model for container terminal logistics (BL, WS), pp. 267–273.

DAC-2015-WangSBS #feedback #implementation #probability

Randomness meets feedback: stochastic implementation of logistic map dynamical system (ZW, NS, KB, AS), p. 7.

ICEIS-v2-2015-BaldassarreBCCV #community #framework

Building a Community Cloud Infrastructure for a Logistics Project (MTB, NB, DC, GdC, GV), pp. 420–427.

ICEIS-v2-2015-GlocknerML #evaluation #process

Engineering and Evaluation of Process Alternatives in Tactical Logistics Planning (MG, SM, AL), pp. 166–176.

ICEIS-v2-2015-SariK #analysis #debugging #monitoring #predict

Bug Prediction for an ATM Monitoring Software — Use of Logistic Regression Analysis for Bug Prediction (ÖS, OK), pp. 382–387.

MoDELS-2015-SandenRGBJVS #composition #design #modelling

Modular model-based supervisory controller design for wafer logistics in lithography machines (BvdS, MAR, MG, TB, JJ, JV, RRHS), pp. 416–425.

CASE-2014-HungPC #component #industrial

A logistics integrated service model in Taiwan FTZ for foreign key components supply of bicycle industry (YWH, HHP, HCC), pp. 600–602.

CASE-2014-LiuLHPC #case study #industrial

The study of green logistics services to manage reverse logistics of TFT-LCD panel industry (CYL, CYL, LTH, HHP, HCC), pp. 603–606.

ICEIS-v2-2014-LiuDT #network #reliability

Auditing Data Reliability in International Logistics — An Application of Bayesian Networks (LL, HAMD, RT), pp. 707–712.

CIKM-2014-KangLSSK #coordination #distributed #probability

Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression (DK, WL, KS, LS, UK), pp. 1269–1278.

ECIR-2014-Aly #normalisation #parametricity #using

Score Normalization Using Logistic Regression with Expected Parameters (RA), pp. 579–584.

ICPR-2014-Nilsson #polynomial #using

Elastic Net Regularized Logistic Regression Using Cubic Majorization (MN), pp. 3446–3451.

ICPR-2014-OuyedA #classification #kernel

Feature Relevance for Kernel Logistic Regression and Application to Action Classification (OO, MSA), pp. 1325–1329.

ICPR-2014-WatanabeW #analysis #component #distance #learning #metric #performance

Logistic Component Analysis for Fast Distance Metric Learning (KW, TW), pp. 1278–1282.

KDD-2014-WangZQWD #multi #predict #risk management

Clinical risk prediction with multilinear sparse logistic regression (FW, PZ, BQ, XW, ID), pp. 145–154.

KR-2014-KazemiBKNP #relational

Relational Logistic Regression (SMK, DB, KK, SN, DP).

HIMI-LCCB-2013-AntolosLLV #analysis #using

Burglary Crime Analysis Using Logistic Regression (DA, DL, AL, DAV), pp. 549–558.

HIMI-LCCB-2013-BraunerRGSZ

Human Factors in Supply Chain Management — Decision Making in Complex Logistic Scenarios (PB, SR, MG, GS, MZ), pp. 423–432.

ICML-c2-2013-GopalY #distributed #modelling #scalability

Distributed training of Large-scale Logistic models (SG, YY), pp. 289–297.

KDD-2013-ChenCMG

Density-based logistic regression (WC, YC, YM, BG), pp. 140–148.

EDOC-2012-MichelbergerMR #enterprise #process

Process-oriented Information Logistics: Aligning Enterprise Information with Business Processes (BM, BM, MR), pp. 21–30.

EDOC-2012-ZhouXDL #difference #network

Complicated Logistics Network Redesign Considering Service Differentiation (LZ, XX, SD, XL), pp. 93–102.

ICEIS-v1-2012-KlinkmullerMLF #automation #comparison #network #towards

Towards Automated Logistics Service Comparison — Decision Support for Logistics Network Management (CK, SM, AL, BF), pp. 259–264.

ECIR-2012-LvZ #modelling #normalisation

A Log-Logistic Model-Based Interpretation of TF Normalization of BM25 (YL, CZ), pp. 244–255.

ICPR-2012-TurkovKM #concept #pattern matching #pattern recognition #problem #recognition

The Bayesian logistic regression in pattern recognition problems under concept drift (PAT, OK, VM), pp. 2976–2979.

MLDM-2012-Thombre #classification #network

Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques (AT), pp. 132–140.

CASE-2011-GhirardiPS #case study #multimodal #throughput

Maximizing the throughput of multimodal logistic platforms by simulation-optimization: The Duferco case study (MG, GP, DS), pp. 52–57.

CASE-2011-StyliosG #fuzzy #modelling #using

Modeling complex logistics systems using soft computing methodology of Fuzzy Cognitive Maps (CDS, GKG), pp. 72–77.

CSMR-2011-NagyVFGKK #design #reverse engineering

Solutions for Reverse Engineering 4GL Applications, Recovering the Design of a Logistical Wholesale System (CN, LV, RF, TG, FK, IK), pp. 343–346.

ICEIS-v1-2011-WangRP #process #research

Research of Circular Logistics Process of Telecommunications Operators (YW, YR, LP), pp. 308–313.

ICEIS-v2-2011-ChenZ11b #development #interactive #research

The Research on the Interaction Effects of Rural Logistics and Economic Development (XC, JZ), pp. 167–171.

ICEIS-v2-2011-GonzalezML #design

A Model for Designing Non Cooperative Supply Chain Where Logistics Service Providers Take Part (EDRSG, GRM, HPLL), pp. 409–417.

ICEIS-v2-2011-WuRWS #network #optimisation #research

The Research of Paper Reverse Logistic Network Optimization on the Low-carbon Economy (RW, YR, SW, CS), pp. 336–340.

ICEIS-v2-2011-YangRL #research

Emergency Logistics Systems Synnergetics Research (YY, YR, HL), pp. 282–286.

ICEIS-v3-2011-ZhangF #algorithm #evaluation #performance

Performance Evaluation of Emergency Logistics based on DEA-AHP Algorithm (JZ, SF), pp. 527–532.

ICEIS-v4-2011-HaanONS

Management of the “Customer — Logistics Service Provider” Relationship (JdH, MO, FN, JS), pp. 720–725.

ICEIS-v4-2011-HuoXT

Characteristics of Modern Logistics and Ways of Reducing Logistics Costs (CH, MX, YT), pp. 732–735.

ICEIS-v4-2011-LiangY #enterprise #how

How to Control the Distribution Cost of the Cold Chain Logistics Enterprise (SXL, GY), pp. 716–719.

ICEIS-v4-2011-LiL #network #optimisation

The Optimization of Road Network in Logistics Hub based on Low-carbon Aspect (YL, ML), pp. 666–670.

ICEIS-v4-2011-ShiL #analysis

Analysis of the Economic Benefit of Used Batteries based on Reverse Logistics (XS, ZL), pp. 736–742.

ICEIS-v4-2011-Sun #internet

Study of Logistics Management on Internet of Things (CS), pp. 522–526.

ICEIS-v4-2011-WangZQ #enterprise #how

How Logistics Enterprises Cope with Financial Crisis (JW, ZZ, KQ), pp. 685–689.

ICEIS-v4-2011-Zhao11a #modelling #optimisation #research

Research on Logistics Location Optimization Model based on Time Dimensions (JZ), pp. 656–661.

ICML-2011-MarlinKM #bound #modelling

Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models (BMM, MEK, KPM), pp. 633–640.

KDD-2011-MalbasaV #scalability

Spatially regularized logistic regression for disease mapping on large moving populations (VM, SV), pp. 1352–1360.

KDD-2011-YuanHL

An improved GLMNET for l1-regularized logistic regression (GXY, CHH, CJL), pp. 33–41.

SAC-2011-LiOZ #approach #collaboration #modelling #process

An integrated approach for modeling and facilitating RFID-based collaborative logistics processes (YL, AO, HZ), pp. 301–307.

SAC-2010-MaranzatoPLN #detection #using

Fraud detection in reputation systems in e-markets using logistic regression (RM, AMP, APdL, MN), pp. 1454–1455.

ICEIS-J-2009-SiepermannS #automation #generative

e-Learning in Logistics Cost Accounting Automatic Generation and Marking of Exercises (MS, CS), pp. 665–676.

CIKM-2009-ClinchantG #constraints #information retrieval #word

Retrieval constraints and word frequency distributions: a log-logistic model for IR (SC, ÉG), pp. 1975–1978.

KDD-2009-LiuCY #scalability

Large-scale sparse logistic regression (JL, JC, JY), pp. 547–556.

SAC-2009-MartinsHM #image #multi #re-engineering #using

Super-resolution image reconstruction using the generalized isotropic multi-level logistic model (ALDM, MRPH, NDAM), pp. 934–938.

CASE-2008-SrivastavaVK #combinator #using

Procurement of global logistics services using combinatorial auctions (NKS, NV, SK), pp. 297–302.

ICPR-2008-FuR #learning #multi #performance

Fast multiple instance learning via L1, 2 logistic regression (ZF, ARK), pp. 1–4.

ICPR-2008-WatanabeK #locality #multi

Locality preserving multi-nominal logistic regression (KW, TK), pp. 1–4.

KDD-2008-ChangYM

Partitioned logistic regression for spam filtering (MWC, WtY, CM), pp. 97–105.

KDD-2008-IfrimBW #categorisation #n-gram #performance

Fast logistic regression for text categorization with variable-length n-grams (GI, GHB, GW), pp. 354–362.

SIGIR-2008-XuA #feedback

A bayesian logistic regression model for active relevance feedback (ZX, RA), pp. 227–234.

HIMI-IIE-2007-Chou

A Decision Making Model for the Taiwanese Shipping Logistics Company in China to Select the Container Distribution Center Location (CCC), pp. 844–854.

ICEIS-AIDSS-2007-Sandkuhl #concept

Information logistics in networked organisations — issues, concepts and applications (KS), pp. 10–14.

ICEIS-DISI-2007-BlaszkowskaPW #case study #traceability

Logistics traceability for supply chain improvement — case study of SMMART project (PB, JP, MW), pp. 599–604.

ICEIS-DISI-2007-Sandkuhl #concept

Information logistics in networked organisations — issues, concepts and applications (KS), pp. 10–14.

ICEIS-EIS-2007-ApelkransH #case study #enterprise #process

Enterprise Systems Configuration as an Information Logistics Process — A Study (MA, AH), pp. 212–220.

ICEIS-EIS-2007-Sandkuhl #concept

Information logistics in networked organisations — issues, concepts and applications (KS), pp. 10–14.

ICEIS-HCI-2007-Sandkuhl #concept

Information logistics in networked organisations — issues, concepts and applications (KS), pp. 10–14.

ICEIS-J-2007-GujoS07a #combinator

Bid Formation in a Combinatorial Auction for Logistics Services (OG, MS), pp. 303–315.

ICEIS-J-2007-Sandkuhl07a #concept

Information Logistics in Networked Organizations: Selected Concepts and Applications (KS), pp. 43–54.

ICEIS-SAIC-2007-GujoS #combinator #named

COMEX: Combinatorial Auctions for the Intra-Enterprise Exchange of Logistics Services (OG, MS), pp. 5–12.

ICEIS-SAIC-2007-Sandkuhl #concept

Information logistics in networked organisations — issues, concepts and applications (KS), pp. 10–14.

ICML-2007-LinWK #scalability #trust

Trust region Newton methods for large-scale logistic regression (CJL, RCW, SSK), pp. 561–568.

SIGIR-2007-XuWL

Estimating collection size with logistic regression (JX, SW, XL), pp. 789–790.

ICEIS-AIDSS-2006-LinHST #named #scheduling

LOGICRUNCHER — A Logistics Planning and Scheduling Decision Support System for Emerging EMS and 3PL Business Practices (RJL, JH, NSK, BT), pp. 176–181.

KDD-2006-Jaroszewicz #polynomial

Polynomial association rules with applications to logistic regression (SJ), pp. 586–591.

OOPSLA-2006-CavazosO #compilation #using

Method-specific dynamic compilation using logistic regression (JC, MFPO), pp. 229–240.

CASE-2005-JungCJ #coordination

A production-distribution coordinating model for third party logistics partnership (HJ, FFC, BJ), pp. 99–104.

ICEIS-v2-2005-KrauthMPS #metric #performance

Performance Measurement and Control in Logistics Service Providing (EK, HM, VP, MCS), pp. 239–247.

ICML-2005-LiaoXC #data flow

Logistic regression with an auxiliary data source (XL, YX, LC), pp. 505–512.

ICML-2005-WilliamsLXC #classification #using

Incomplete-data classification using logistic regression (DW, XL, YX, LC), pp. 972–979.

SAC-2005-JablonskiLMMH #integration

Data logistics as a means of integration in healthcare applications (SJ, RL, CM, SM, WH), pp. 236–241.

ICEIS-v3-2004-ZoukarS #approach #enterprise #requirements #similarity

Matching ERP Functionalities with the Logistic Requirements of French Railways: A Similarity Approach (IZ, CS), pp. 444–450.

ICML-2004-ZhangKY #algorithm

Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model (ZZ, JTK, DYY).

ICML-2004-ZhangY #estimation #probability

Probabilistic score estimation with piecewise logistic regression (JZ, YY).

ICPR-v2-2004-CawleyT #kernel #performance

Efficient Model Selection for Kernel Logistic Regression (GCC, NLCT), pp. 439–442.

ICPR-v3-2004-AdeodatoVASCM #case study #comparative #network #scalability #set

Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set (PJLA, GCV, ALA, RAFS, RCLVC, DSMPM), pp. 355–358.

ICEIS-v2-2003-OkuharaU #multi #problem

Logistics By Applying Evolutionary Computation to Multicommodity Flow Problem (KO, NU), pp. 511–514.

ICML-2003-LeeL #learning #using

Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression (WSL, BL), pp. 448–455.

ICML-2003-ZhangJYH #approximate #categorisation #scalability

Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization (JZ, RJ, YY, AGH), pp. 888–895.

ICML-2002-KeerthiDSP #algorithm #kernel #performance

A Fast Dual Algorithm for Kernel Logistic Regression (SSK, KD, SKS, ANP), pp. 299–306.

SIGIR-2002-Larson #approach #distributed #information retrieval

A logistic regression approach to distributed IR (RRL), pp. 399–400.

HPDC-2001-SwanyW

The Logistical Session Layer (DMS, RW), p. 443–?.

ICEIS-1999-ReisM #network #what

What’s in a Node?-Nodes and Agents in Logistic Networks (JR, NJM), pp. 285–291.

ICEIS-1999-ReisM99a #modelling #multi

Task Modelling in a Multi-Agent Logistic Domain (JR, NJM), p. 769.

SIGIR-1994-Gey #probability #using

Inferring Probability of Relevance Using the Method of Logistic Regression (FCG), pp. 222–231.

SIGIR-1992-CooperGD #probability #retrieval #staged

Probabilistic Retrieval Based on Staged Logistic Regression (WSC, FCG, DPD), pp. 198–210.