BibSLEIGH
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data (37)
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system (16)
valu (15)
link (14)

Stem miss$ (all stems)

149 papers:

DACDAC-2015-BalajiFDGA #abstraction #architecture #cyber-physical #modelling
Models, abstractions, and architectures: the missing links in cyber-physical systems (BB, MAAF, NDD, RKG, YA), p. 6.
DATEDATE-2015-WangLWY #gpu
Eliminating intra-warp conflict misses in GPU (BW, ZL, XW, WY), pp. 689–694.
DRRDRR-2015-XuS
Missing value imputation: with application to handwriting data (ZX, SNS).
ICMLICML-2015-AnavaHZ #online #predict
Online Time Series Prediction with Missing Data (OA, EH, AZ), pp. 2191–2199.
ICMLICML-2015-HazanLM #classification #rank
Classification with Low Rank and Missing Data (EH, RL, YM), pp. 257–266.
ICMLICML-2015-YangRV #clustering
Sparse Subspace Clustering with Missing Entries (CY, DR, RV), pp. 2463–2472.
MLDMMLDM-2015-IshayH #algorithm #clustering #integration #novel
A Novel Algorithm for the Integration of the Imputation of Missing Values and Clustering (RBI, MH), pp. 115–129.
MLDMMLDM-2015-KarkkainenS #analysis #component #robust
Robust Principal Component Analysis of Data with Missing Values (TK, MS), pp. 140–154.
RecSysRecSys-2015-LimML #feedback #recommendation
Top-N Recommendation with Missing Implicit Feedback (DL, JM, GRGL), pp. 309–312.
MoDELSMoDELS-2015-NguyenGA #case study #requirements
Integrating goal-oriented and use case-based requirements engineering: The missing link (THN, JCG, MA), pp. 328–337.
PPDPPPDP-2015-CaballeroGS #constraints #datalog #debugging #source code
Debugging of wrong and missing answers for datalog programs with constraint handling rules (RC, YGR, FSP), pp. 55–66.
SACSAC-2015-BlombergBR #evolution #robust
Evolving regression trees robust to missing data (LCB, RCB, DDR), pp. 102–109.
VMCAIVMCAI-2015-NagarS #analysis #using
Path Sensitive Cache Analysis Using Cache Miss Paths (KN, YNS), pp. 43–60.
DACDAC-2014-KleebergerMS #analysis
Workload- and Instruction-Aware Timing Analysis: The missing Link between Technology and System-level Resilience (VK, PRM, US), p. 6.
CIKMCIKM-2014-ShangLCC #analysis #component #robust
Robust Principal Component Analysis with Missing Data (FS, YL, JC, HC), pp. 1149–1158.
ECIRECIR-2014-ThumaRO #detection #query #retrieval
Detecting Missing Content Queries in an SMS-Based HIV/AIDS FAQ Retrieval System (ET, SR, IO), pp. 247–259.
ICMLICML-c1-2014-Yu0KD #learning #multi #scalability
Large-scale Multi-label Learning with Missing Labels (HFY, PJ, PK, ISD), pp. 593–601.
ICMLICML-c2-2014-Hernandez-LobatoHG14a #matrix #probability
Probabilistic Matrix Factorization with Non-random Missing Data (JMHL, NH, ZG), pp. 1512–1520.
ICPRICPR-2014-DengXWWCW #automation
Automatic Gait Motion Capture with Missing-Marker Fillings (XD, SX, WW, ZW, LC, HW), pp. 2507–2512.
ICPRICPR-2014-OskarssonAT #graph #multi #scalability
Prime Rigid Graphs and Multidimensional Scaling with Missing Data (MO, , AT), pp. 750–755.
ICPRICPR-2014-WuLWHJ #learning #multi
Multi-label Learning with Missing Labels (BW, ZL, SW, BGH, QJ), pp. 1964–1968.
KDDKDD-2014-AnagnostopoulosT #big data #scalability
Scaling out big data missing value imputations: pythia vs. godzilla (CA, PT), pp. 651–660.
KDIRKDIR-2014-VazquezJ
Handling Missing Data in a Tree Species Catalog Proposed for Reforesting Mexico City (HJV, MJM), pp. 457–464.
RecSysRecSys-2014-KimC #collaboration #predict
Bayesian binomial mixture model for collaborative prediction with non-random missing data (YDK, SC), pp. 201–208.
ISSTAISSTA-2014-MileaJK #detection #refactoring #scalability
Scalable detection of missed cross-function refactorings (NAM, LJ, SCK), pp. 138–148.
DATEDATE-2013-El-NacouziAPZJM #detection #scalability
A dual grain hit-miss detector for large die-stacked DRAM caches (MEN, IA, MP, JZ, NDEJ, AM), pp. 89–92.
DRRDRR-2013-SalahRP #adaptation #assessment #automation #detection #quality
Adaptive detection of missed text areas in OCR outputs: application to the automatic assessment of OCR quality in mass digitization projects (ABS, NR, TP).
SIGMODSIGMOD-2013-TruongBDS #named #xml
MESSIAH: missing element-conscious SLCA nodes search in XML data (BQT, SSB, CED, AS), pp. 37–48.
VLDBVLDB-2013-0001SZL #performance
Efficient Recovery of Missing Events (JW, SS, XZ, XL), pp. 841–852.
ICSMEICSM-2013-SahaRS #analysis #evolution #named
gCad: A Near-Miss Clone Genealogy Extractor to Support Clone Evolution Analysis (RKS, CKR, KAS), pp. 488–491.
HCIDUXU-WM-2013-KnolmayerSC #empirical #online #requirements
Fulfilled and Missed Requirements for Online Reservation Systems: An Empirical Investigation of Austrian and Swiss Hotels (GK, VS, PC), pp. 221–230.
HCIHCI-AMTE-2013-MartinHE #automation #modelling #user interface
Patterns and Models for Automated User Interface Construction — In Search of the Missing Links (CM, CH, JE), pp. 401–410.
ICMLICML-c1-2013-ChenC13a
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery (YC, CC), pp. 383–391.
KDDKDD-2013-XiangYFWTY #learning #multi #predict
Multi-source learning with block-wise missing data for Alzheimer’s disease prediction (SX, LY, WF, YW, PMT, JY), pp. 185–193.
CASECASE-2012-ChenF #analysis #rule-based
Treatment of missing values for association rule-based tool commonality analysis in semiconductor manufacturing (RHC, CMF), pp. 886–891.
SIGMODSIGMOD-2012-OhKKL #sorting
Reducing cache misses in hash join probing phase by pre-sorting strategy (abstract only) (GHO, JMK, WHK, SWL), p. 864.
ICSMEICSM-2012-AlalfiCDSS #clone detection #detection #modelling
Models are code too: Near-miss clone detection for Simulink models (MHA, JRC, TRD, MS, AS), pp. 295–304.
SCAMSCAM-2012-Bazrafshan #evolution
Evolution of Near-Miss Clones (SB), pp. 74–83.
FLOPSFLOPS-2012-CaballeroGS #debugging #declarative #sql
Declarative Debugging of Wrong and Missing Answers for SQL Views (RC, YGR, FSP), pp. 73–87.
CHICHI-2012-DaviesB #mobile
The case of the missed icon: change blindness on mobile devices (TD, AKB), pp. 1451–1460.
CSCWCSCW-2012-NathanTLPWBT
In case you missed it: benefits of attendee-shared annotations for non-attendees of remote meetings (MN, MT, JCL, SP, SW, JB, LGT), pp. 339–348.
ICMLICML-2012-KolarX #consistency
Consistent Covariance Selection From Data With Missing Values (MK, EPX), p. 85.
ICPRICPR-2012-BougesCBL #classification #nearest neighbour #using
Using k-nearest neighbors to handle missing weak classifiers in a boosted cascade (PB, TC, CB, GL), pp. 1763–1766.
ICPRICPR-2012-FengKCWP #automation #multi
Automatic face annotation by multilinear AAM with Missing Values (ZHF, JK, WJC, XW, SP), pp. 2586–2589.
ICPRICPR-2012-SahayR #3d #modelling #re-engineering #scalability #self
Harnessing self-similarity for reconstruction of large missing regions in 3D Models (PS, ANR), pp. 101–104.
KDDKDD-2012-PatroDSWFK #approach #data-driven #how #learning #modelling #network
The missing models: a data-driven approach for learning how networks grow (RP, GD, ES, HW, DF, CK), pp. 42–50.
KDIRKDIR-2012-Delmonte #dependence #information management #null
Predicate Argument Structures for Information Extraction from Dependency Representations — Null Elements are Missing (RD), pp. 463–474.
MLDMMLDM-2012-JoenssenB
Hot Deck Methods for Imputing Missing Data — The Effects of Limiting Donor Usage (DWJ, UB), pp. 63–75.
RecSysRecSys-2012-PradelUG #evaluation #metric #ranking
Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics (BP, NU, PG), pp. 147–154.
SIGIRSIGIR-2012-JungL #matrix #probability
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization (HJJ, ML), pp. 1095–1096.
SACSAC-2012-ChenGZG #metric #network #similarity #using
Discovering missing links in networks using vertex similarity measures (HHC, LG, X(Z, CLG), pp. 138–143.
SACSAC-2012-MinervinidF #concept #learning #logic #probability
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge (PM, Cd, NF), pp. 378–383.
SACSAC-2012-ZibranR #ide #realtime
IDE-based real-time focused search for near-miss clones (MFZ, CKR), pp. 1235–1242.
ISMMISMM-2012-InoueN #hardware #identification #java #source code
Identifying the sources of cache misses in Java programs without relying on hardware counters (HI, TN), pp. 133–142.
ICSTICST-2012-AlesioGNB #constraints #optimisation #realtime #testing #using
Testing Deadline Misses for Real-Time Systems Using Constraint Optimization Techniques (SDA, AG, SN, LCB), pp. 764–769.
CASECASE-2011-MovafaghpourM #approach #linear #probability #programming
A linear programming approach for probabilistic robot path planning with missing information of outcomes (MAM, EM), pp. 126–132.
ICSMEICSM-2011-SahaRS #automation #framework
An automatic framework for extracting and classifying near-miss clone genealogies (RKS, CKR, KAS), pp. 293–302.
WCREWCRE-2011-UddinRSH #detection #effectiveness #on the #scalability
On the Effectiveness of Simhash for Detecting Near-Miss Clones in Large Scale Software Systems (MSU, CKR, KAS, AH), pp. 13–22.
CHICHI-2011-JunuzovicIHZTB #bibliography #multimodal #using #what
What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing (SJ, KI, RH, ZZ, JCT, CB), pp. 513–522.
CHICHI-2011-KoZ #detection #feedback #web
Feedlack detects missing feedback in web applications (AJK, XZ), pp. 2177–2186.
CIKMCIKM-2011-YiA #query #web
Discovering missing click-through query language information for web search (XY, JA), pp. 153–162.
RecSysRecSys-2011-Tschersich #design #guidelines #mobile #recommendation
Design guidelines for mobile group recommender systems to handle inaccurate or missing location data (MT), pp. 359–362.
OOPSLAOOPSLA-2011-SonMS #named #security #what
RoleCast: finding missing security checks when you do not know what checks are (SS, KSM, VS), pp. 1069–1084.
SACSAC-2011-AnttonenSMT #framework #roadmap #web
Transforming the web into a real application platform: new technologies, emerging trends and missing pieces (MA, AS, TM, AT), pp. 800–807.
ESEC-FSEESEC-FSE-2011-RahmanPHBD #question
BugCache for inspections: hit or miss? (FR, DP, AH, ETB, PTD), pp. 322–331.
DACDAC-2010-Chiprout #power management
On-die power grids: the missing link (EC), pp. 940–945.
PODSPODS-2010-FanG #tuple
Capturing missing tuples and missing values (WF, FG), pp. 169–178.
VLDBVLDB-2010-HerschelH #query
Explaining Missing Answers to SPJUA Queries (MH, MAH), pp. 185–196.
ITiCSEITiCSE-2010-Prey
Who’s missing from the room (JP), p. 2.
ICPRICPR-2010-BhavsarR #image #scalability
Inpainting Large Missing Regions in Range Images (AVB, ANR), pp. 3464–3467.
KDDKDD-2010-Steck #random #recommendation #testing
Training and testing of recommender systems on data missing not at random (HS), pp. 713–722.
SEKESEKE-2010-ZhangYW #question
Absent features or missing values? (WZ, YY, QW), pp. 6–11.
SIGIRSIGIR-2010-YiA #approach #web
A content based approach for discovering missing anchor text for web search (XY, JA), pp. 427–434.
ECOOPECOOP-2010-MonperrusBM #detection #object-oriented
Detecting Missing Method Calls in Object-Oriented Software (MM, MB, MM), pp. 2–25.
SACSAC-2010-AminBJ10a #wiki
Wikipedia driven autonomous label assignment in wrapper induced tables with missing column names (MSA, AB, HMJ), pp. 1656–1660.
SACSAC-2010-ColantonioPOV #adaptation #approach #clustering #matrix #named
ABBA: adaptive bicluster-based approach to impute missing values in binary matrices (AC, RDP, AO, NVV), pp. 1026–1033.
FSEFSE-2010-BachmannBRDB #commit #debugging
The missing links: bugs and bug-fix commits (AB, CB, FR, PTD, AB), pp. 97–106.
ICSTICST-2010-WeyukerBO #debugging #question #what
We’re Finding Most of the Bugs, but What are We Missing? (EJW, RMB, TJO), pp. 313–322.
RTARTA-2010-RiescoVM #debugging #declarative #maude
Declarative Debugging of Missing Answers for Maude (AR, AV, NMO), pp. 277–294.
VLDBVLDB-2009-HerschelHT #named
Artemis: A System for Analyzing Missing Answers (MH, MAH, WCT), pp. 1550–1553.
ICSMEICSM-2009-Roy #analysis #detection
Detection and analysis of near-miss software clones (CKR), pp. 447–450.
HCIHCI-VAD-2009-JelinSDMB #education #human-computer #question
HCI Professional Involvement in k-12 Education: On Target or Missing the Mark? (MJ, AS, JD, DM, DB), pp. 111–118.
HCIHIMI-II-2009-FurukawaO #analysis
A Proposal of Collection and Analysis System of Near Miss Incident in Nursing Duties (AF, YO), pp. 497–502.
HCIHIMI-II-2009-SawaragiIHN #approach #identification #using
Identifying Latent Similarities among Near-Miss Incident Records Using a Text-Mining Method and a Scenario-Based Approach (TS, KI, YH, HN), pp. 594–603.
KDDKDD-2009-LiMPF #mining #named #sequence #summary
DynaMMo: mining and summarization of coevolving sequences with missing values (LL, JM, NSP, CF), pp. 507–516.
RecSysRecSys-2009-MarlinZ #collaboration #predict #ranking
Collaborative prediction and ranking with non-random missing data (BMM, RSZ), pp. 5–12.
ASPLOSASPLOS-2009-TamASS #approximate #named #online #optimisation
RapidMRC: approximating L2 miss rate curves on commodity systems for online optimizations (DKT, RA, LS, MS), pp. 121–132.
HPCAHPCA-2009-HiltonNR #named
iCFP: Tolerating all-level cache misses in in-order processors (ADH, SN, AR), pp. 431–442.
DACDAC-2008-BournoutianO #design #embedded #reduction
Miss reduction in embedded processors through dynamic, power-friendly cache design (GB, AO), pp. 304–309.
DATEDATE-2008-BatcherW #embedded #scheduling
Dynamic Round-Robin Task Scheduling to Reduce Cache Misses for Embedded Systems (KWB, RAW), pp. 260–263.
DATEDATE-2008-ParkSP #embedded #execution #using
Hiding Cache Miss Penalty Using Priority-based Execution for Embedded Processors (SP, AS, YP), pp. 1190–1195.
SIGMODSIGMOD-2008-HuaP #named
DiMaC: a system for cleaning disguised missing data (MH, JP), pp. 1263–1266.
ICPCICPC-2008-RoyC08a #detection #flexibility #named #normalisation #pretty-printing #using
NICAD: Accurate Detection of Near-Miss Intentional Clones Using Flexible Pretty-Printing and Code Normalization (CKR, JRC), pp. 172–181.
FLOPSFLOPS-2008-CaballeroRV #constraints #declarative #functional #logic programming
Declarative Diagnosis of Missing Answers in Constraint Functional-Logic Programming (RC, MRA, RdVV), pp. 305–321.
ICMLICML-2008-DekelS #learning
Learning to classify with missing and corrupted features (OD, OS), pp. 216–223.
ICPRICPR-2008-WangWH #matrix
Structure and motion factorization under quasi-perspective projection with missing data in tracking matrix (GW, QMJW, WH), pp. 1–4.
KDDKDD-2008-HuaP #named
DiMaC: a disguised missing data cleaning tool (MH, JP), pp. 1077–1080.
HCIHCI-AS-2007-KimuraTHTAOT #analysis #approach #using
The Analysis of Near-Miss Cases Using Data-Mining Approach (MK, KT, TH, YT, TA, MO, FT), pp. 474–483.
KDDKDD-2007-HuaP #approach #heuristic
Cleaning disguised missing data: a heuristic approach (MH, JP), pp. 950–958.
SIGIRSIGIR-2007-MaKL #collaboration #effectiveness #predict
Effective missing data prediction for collaborative filtering (HM, IK, MRL), pp. 39–46.
RERE-2007-Kof #identification #named
Scenarios: Identifying Missing Objects and Actions by Means of Computational Linguistics (LK), pp. 121–130.
SACSAC-2007-CaldersGM #mining
Mining itemsets in the presence of missing values (TC, BG, MM), pp. 404–408.
ICLPICLP-2007-CaballeroRV #constraints #debugging #declarative #functional #logic programming
Declarative Debugging of Missing Answers in Constraint Functional-Logic Programming (RC, MRA, RdVV), pp. 425–427.
DATEDATE-2006-VandierendonckML #configuration management
Application-specific reconfigurable XOR-indexing to eliminate cache conflict misses (HV, PM, JDL), pp. 357–362.
HTHT-2006-HarrisonN #web
Just-in-time recovery of missing web pages (TLH, MLN), pp. 145–156.
ICFPICFP-2006-Rossberg #component #ml
The missing link: dynamic components for ML (AR), pp. 99–110.
CSCWCSCW-2006-KoschmannLGF #problem
The mystery of the missing referent: objects, procedures, and the problem of the instruction follower (TK, CL, CG, PJF), pp. 373–382.
ICPRICPR-v1-2006-HuMFDY #re-engineering #robust
Robust Projective Reconstruction with Missing Information (MH, KM, SF, GD, BY), pp. 547–550.
ICPRICPR-v3-2006-GanLY06a #array #biology #constraints #framework #set
Microarray Missing Data Imputation based on a Set Theoretic Framework and Biological Constraints (XG, AWCL, HY), pp. 842–845.
SACSAC-2006-WongZC #metric #modelling #statistics
Applying statistical methodology to optimize and simplify software metric models with missing data (WEW, JZ, VKYC), pp. 1728–1733.
ICSEICSE-2006-TwalaCS #predict
Ensemble of missing data techniques to improve software prediction accuracy (BT, MC, MJS), pp. 909–912.
KDDKDD-2005-ManeSH #classification #independence #using
Estimating missed actual positives using independent classifiers (SM, JS, SYH), pp. 648–653.
KDDKDD-2005-NorenOB #database #detection #safety
A hit-miss model for duplicate detection in the WHO drug safety database (GNN, RO, AB), pp. 459–468.
SIGIRSIGIR-2005-Yom-TovFCD #detection #distributed #information retrieval #learning #query
Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval (EYT, SF, DC, AD), pp. 512–519.
DACDAC-2004-StrojwasCGHKLNPT #fault #question
When IC yield missed the target, who is at fault? (AJS, MC, VG, JH, JK, ML, WN, DP, MT), p. 80.
DRRDRR-2004-LalanneMI #documentation #multi
Talking about documents: revealing a missing link to multimedia meeting archives (DL, DM, RI), pp. 82–91.
CIKMCIKM-2004-TerraC #information retrieval
Scoring missing terms in information retrieval tasks (ET, CLAC), pp. 50–58.
ICPRICPR-v3-2004-GanLY #array #estimation #set
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method (XG, AWCL, HY), pp. 782–785.
ICPRICPR-v4-2004-PeursumBVW #segmentation
Human Action Segmentation via Controlled Use of Missing Data in HMMs (PP, HHB, SV, GAWW), pp. 440–445.
SACSAC-2004-LeeR #requirements
Missing requirements and relationship discovery through proxy viewpoints model (SWL, DCR), pp. 1513–1518.
ASPLOSASPLOS-2004-ZhouPSRZK #memory management
Dynamic tracking of page miss ratio curve for memory management (PZ, VP, JS, AR, YZ, SK), pp. 177–188.
HPCAHPCA-2004-KharbutliISL #using
Using Prime Numbers for Cache Indexing to Eliminate Conflict Misses (MK, KI, YS, JL), pp. 288–299.
DACDAC-2003-Givargis #embedded #reduction
Improved indexing for cache miss reduction in embedded systems (TG), pp. 875–880.
DACDAC-2003-HuaQB #energy #multi #reduction
Energy reduction techniques for multimedia applications with tolerance to deadline misses (SH, GQ, SSB), pp. 131–136.
HPCAHPCA-2003-MemikRM
Just Say No: Benefits of Early Cache Miss Determinatio (GM, GR, WHMS), pp. 307–316.
PLDIPLDI-2002-BurtscherDH #classification #predict
Static Load Classification for Improving the Value Predictability of Data-Cache Misses (MB, AD, MH), pp. 222–233.
ICGTICGT-2002-GerberLRSW #named
Transformation: The Missing Link of MDA (AG, ML, KR, JS, AW), pp. 90–105.
ICPRICPR-v1-2002-LeonS #process #recognition
Continuous Activity Recognition with Missing Data (RDdL, LES), pp. 439–446.
STOCSTOC-2000-ColeH #performance
Faster suffix tree construction with missing suffix links (RC, RH), pp. 407–415.
ISMMISMM-2000-Boehm #garbage collection
Reducing Garbage Collector Cache Misses (HJB), pp. 59–64.
IWPCIWPC-1999-KnapenLDM #c++ #parsing
Parsing C++ Despite Missing Declarations (GK, BL, MD, EM), pp. 114–125.
DATEDATE-1998-MoserM #design #modelling #named
VHDL-AMS: The Missing Link in System Design — Experiments with Unified Modelling in Automotive Engineering (EM, NM), pp. 59–63.
ESOPESOP-1998-Ruggieri #debugging #declarative
A Complete Declarative Debugger of Missing Answers (SR), pp. 236–251.
PLDIPLDI-1998-RiveraT #data transformation
Data Transformations for Eliminating Conflict Misses (GR, CWT), pp. 38–49.
STOCSTOC-1998-BabaiHK #communication #complexity #cost analysis
The Cost of the Missing Bit: Communication Complexity with Help (LB, TPH, PGK), pp. 673–682.
ASPLOSASPLOS-1998-GhoshMM #analysis #precise #program transformation
Precise Miss Analysis for Program Transformations with Caches of Arbitrary Associativity (SG, MM, SM), pp. 228–239.
CSEETCSEET-1997-Jackson #education #re-engineering
A Missing Element in Software Engineering Education (MJ), pp. 2–3.
ICMLICML-1997-Friedman #learning #network
Learning Belief Networks in the Presence of Missing Values and Hidden Variables (NF), pp. 125–133.
HPCAHPCA-1997-ZhangT
Reducing Remote Conflict Misses: NUMA with Remote Cache versus COMA (ZZ, JT), pp. 272–281.
KDDKDD-1996-LakshminarayanHGS #machine learning #using
Imputation of Missing Data Using Machine Learning Techniques (KL, SAH, RPG, TS), pp. 140–145.
ISMMIWMM-1995-PhalkeG #architecture
A Miss History-based Architecture for Cache Prefetching (VP, BG), pp. 381–398.
ASPLOSASPLOS-1994-BershadLRC #scalability
Avoiding Conflict Misses Dynamically in Large Direct-Mapped Caches (BNB, DL, THR, JBC), pp. 158–170.
HTHT-1993-MarshallS #hypermedia
Searching for the Missing Link: Discovering Implicit Structure in Spatial Hypertext (CCM, FMSI), pp. 217–230.
TOOLSTOOLS-PACIFIC-1993-MenziesEN #library #reuse
The Mysterious Case of the Missing Reusable Class Libraries (TM, JME, KN), pp. 421–427.
ICLPILPS-1993-DecorteSF #analysis #automation #termination
Automatic Inference of Norms: A Missing Link in Automatic Termination Analysis (SD, DDS, MF), pp. 420–436.
ICMLML-1992-WeinbergBK #clustering #concept
Conceptual Clustering with Systematic Missing Values (JBW, GB, GRK), pp. 464–469.
CHICHI-1991-BellRL #programming #testing #usability #visual notation
Usability testing of a graphical programming system: things we missed in a programming walkthrough (BB, JR, CHL), pp. 7–12.
SIGIRSIGIR-1987-MorrisseyR
A Formal Treatment of Missing and Imprecise Information (JMM, CJvR), pp. 149–156.
ICSEICSE-1976-LeeSM #clustering
Application of Clustering to Estimate Missing Data and Improve Data Integrity (RCTL, JRS, CTM), pp. 539–544.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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