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use (17)

Stem belief$ (all stems)

138 papers:

DATEDATE-2015-YuSHEAB #library #multi #statistics #using
Statistical library characterization using belief propagation across multiple technology nodes (LY, SS, CH, IME, DAA, DSB), pp. 1383–1388.
VLDBVLDB-2015-GatterbauerGKF
Linearized and Single-Pass Belief Propagation (WG, SG, DK, CF), pp. 581–592.
CHICHI-2015-RaderG #algorithm #comprehension #facebook
Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed (ER, RG), pp. 173–182.
ICMLICML-2015-Papachristoudis #adaptation
Adaptive Belief Propagation (GP, JWF), pp. 899–907.
PPDPPPDP-2015-HaarPRV #algebra #concurrent #logic
An algebraic view of space/belief and extrusion/utterance for concurrency/epistemic logic (SH, SP, CR, FDV), pp. 161–172.
SACSAC-2015-AliK #approach #effectiveness #recommendation
An effective approach to group recommendation based on belief propagation (IA, SWK), pp. 1148–1153.
ICLPICLP-2015-PerchyV #constraints
Opinions and Beliefs as constraint system operators (SP, FV).
WICSAWICSA-2014-AliBGKP #adaptation #architecture #estimation
Architecture Adaptation Based on Belief Inaccuracy Estimation (RAA, TB, IG, JK, FP), pp. 87–90.
CSCWCSCW-2014-GaoXCF #how #multi
How beliefs about the presence of machine translation impact multilingual collaborations (GG, BX, DC, SRF), pp. 1549–1560.
CIKMCIKM-2014-YinG #distributed #scalability
Scalable Distributed Belief Propagation with Prioritized Block Updates (JY, LG), pp. 1209–1218.
ICMLICML-c2-2014-MnihG #learning #network
Neural Variational Inference and Learning in Belief Networks (AM, KG), pp. 1791–1799.
ICPRICPR-2014-BenhabilesTV #3d #framework #retrieval
Belief-Function-Based Framework for Deformable 3D-Shape Retrieval (HB, HT, JPV), pp. 285–290.
ICPRICPR-2014-ZouYCDJ #clustering #correlation #topic #video
A Belief Based Correlated Topic Model for Trajectory Clustering in Crowded Video Scenes (JZ, QY, YC, DSD, JJ), pp. 2543–2548.
KRKR-2014-BelleL #how
How to Progress Beliefs in Continuous Domains (VB, HJL).
KRKR-2014-Dufour-LussierHBL #algebra
Belief Revision in the Propositional Closure of a Qualitative Algebra (VDL, AH, FLB, JL).
KRKR-2014-EveraereKM #on the
On Egalitarian Belief Merging (PE, SK, PM).
KRKR-2014-GirleaAG #game studies
Tracking Beliefs and Intentions in the Werewolf Game (CLG, EA, RG).
KRKR-2014-GrossiH
Justified Beliefs by Justified Arguments (DG, WvdH).
KRKR-2014-Herzig #logic
Belief Change Operations: A Short History of Nearly Everything, Told in Dynamic Logic of Propositional Assignments (AH).
KRKR-2014-OveisiDPP #dependence
Belief Change and Base Dependence (MO, JPD, FJP, FP).
KRKR-2014-PeppasW
Belief Change and Semiorders (PP, MAW).
KRKR-2014-PereiraDH #abduction #approach #bias #reasoning
An Abductive Reasoning Approach to the Belief Bias Effect (LMP, EAD, SH).
MLDMMLDM-2014-UtkinZC #classification #data-driven #database #robust
A Robust One-Class Classification Model with Interval-Valued Data Based on Belief Functions and Minimax Strategy (LVU, YAZ, AIC), pp. 107–118.
CASECASE-2013-LinG #detection #framework #network #optimisation #synthesis
Synthesis and optimization of a Bayesian belief network based observation platform for anomaly detection under partial and unreliable observations (WCL, HEG), pp. 51–58.
KDDKDD-2013-ZhengM #optimisation #parallel
Optimizing parallel belief propagation in junction treesusing regression (LZ, OJM), pp. 757–765.
SIGIRSIGIR-2013-White #bias #web
Beliefs and biases in web search (RW), pp. 3–12.
CIKMCIKM-2012-HaKKFP #recommendation
Top-N recommendation through belief propagation (JH, SHK, SWK, CF, SP), pp. 2343–2346.
ICPRICPR-2012-PorwalZG #network #recognition #using
Handwritten Arabic text recognition using Deep Belief Networks (UP, YZ, VG), pp. 302–305.
KDIRKDIR-2012-Beranek #framework
A Framework for Situation Inference based on Belief Function Theory (LB), pp. 358–361.
KDIRKDIR-2012-SantosGSK #behaviour #detection #finite
Finite Belief Fusion Model for Hidden Source Behavior Change Detection (ESJ, QG, EES, JK), pp. 17–24.
KRKR-2012-AdarichevaSST #complexity
Horn Belief Contraction: Remainders, Envelopes and Complexity (KVA, RHS, BS, GT).
KRKR-2012-CreignouPPW #logic
Belief Revision within Fragments of Propositional Logic (NC, OP, RP, SW).
KRKR-2012-DelgrandeL
Belief Revision with Sensing and Fallible Actions (JPD, HJL).
KRKR-2012-EveraereKM #composition
Compositional Belief Merging (PE, SK, PM).
KRKR-2012-HalpernK #ambiguity #difference
Ambiguous Language and Differences in Beliefs (JYH, WK).
KRKR-2012-LawryD #framework
A Bipolar Framework for Combining Beliefs about Vague Propositions (JL, DD).
LICSLICS-2012-ChatterjeeD #game studies #how #probability
Partial-Observation Stochastic Games: How to Win When Belief Fails (KC, LD), pp. 175–184.
CHICHI-2011-MarshallS #social #social media #twitter #using
Social media ownership: using twitter as a window onto current attitudes and beliefs (CCM, FMSI), pp. 1081–1090.
HCIHCI-UA-2011-ItoIN #bias #information management #parametricity #using
Method for Cultivating the “Inquiry-Mindset” Using the Information Access-Based Belief Bias Parameter (KI, YI, SN), pp. 48–57.
ICEISICEIS-v4-2011-MaL
Investor-manager Heterogeneous Beliefs and Corporate Financing Decision (JM, ZL), pp. 384–388.
CIKMCIKM-2011-LiuLZD #classification #network #sentiment
Sentiment classification via l2-norm deep belief network (TL, ML, SZ, XD), pp. 2489–2492.
PADLPADL-2011-RedlEK #declarative #set #using
Declarative Belief Set Merging Using Merging Plans (CR, TE, TK), pp. 99–114.
ICMLICML-2010-El-HayCFK
Continuous-Time Belief Propagation (TEH, IC, NF, RK), pp. 343–350.
ICMLICML-2010-LiPSG #learning #parametricity
Budgeted Distribution Learning of Belief Net Parameters (LL, BP, CS, RG), pp. 879–886.
ICMLICML-2010-McAuleyC #performance
Exploiting Data-Independence for Fast Belief-Propagation (JJM, TSC), pp. 767–774.
ICPRICPR-2010-FaselB #network #realtime #speech
Deep Belief Networks for Real-Time Extraction of Tongue Contours from Ultrasound During Speech (IF, JB), pp. 1493–1496.
ICPRICPR-2010-HsinLLC #image #using
Image Inpainting Using Structure-Guided Priority Belief Propagation and Label Transformations (HFH, JJL, CSL, HYC), pp. 4492–4495.
ICPRICPR-2010-Ogawara #approximate
Approximate Belief Propagation by Hierarchical Averaging of Outgoing Messages (KO), pp. 1368–1372.
ICPRICPR-2010-ZhaoHDC #3d #automation #feature model #recognition #statistics
Automatic 3D Facial Expression Recognition Based on a Bayesian Belief Net and a Statistical Facial Feature Model (XZ, DH, ED, LC), pp. 3724–3727.
KRKR-2010-DelgrandeW #horn clause #set
Horn Clause Contraction Functions: Belief Set and Belief Base Approaches (JPD, RW).
KRKR-2010-IcardPS
Joint Revision of Beliefs and Intention (TFII, EP, YS).
RecSysRecSys-2010-AydayF #online #recommendation
A belief propagation based recommender system for online services (EA, FF), pp. 217–220.
SACSAC-2010-LeeKL #network #personalisation #taxonomy
Applying taxonomic knowledge to Bayesian belief network for personalized search (JwL, HjK, SgL), pp. 1796–1801.
VLDBVLDB-2009-GatterbauerBKS #database
Believe It or Not: Adding Belief Annotations to Databases (WG, MB, NK, DS), pp. 1–12.
ITiCSEITiCSE-2009-Perrenet #difference #student
Differences in beliefs and attitudes about computer science among students and faculty of the bachelor program (JP), pp. 129–133.
ITiCSEITiCSE-2009-WhiteI #case study #education #experience #learning #research
Relating research and teaching: learning from experiences and beliefs (SW, AI), pp. 75–79.
HCIOCSC-2009-PhillipsGS #approach #behaviour #visualisation
A Visualization Approach for Group Behaviors, Beliefs and Intentions to Support Critical Decisions (CLP, NDG, JTS), pp. 91–100.
ICMLICML-2009-JohnsonCC #representation
Orbit-product representation and correction of Gaussian belief propagation (JKJ, VYC, MC), pp. 473–480.
ICMLICML-2009-LeeGRN #learning #network #scalability
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (HL, RBG, RR, AYN), pp. 609–616.
ICLPICLP-2009-Wan #logic programming
Belief Logic Programming (HW), pp. 547–548.
ICMLICML-2008-SalakhutdinovM #analysis #network #on the
On the quantitative analysis of deep belief networks (RS, IM), pp. 872–879.
ICPRICPR-2008-KleinLM #using
Preceding car tracking using belief functions and a particle filter (JK, CL, PM), pp. 1–4.
KRKR-2008-BoothM #social
Equilibria in Social Belief Removal (RB, TAM), pp. 145–155.
KRKR-2008-Delgrande #horn clause
Horn Clause Belief Change: Contraction Functions (JPD), pp. 156–165.
KRKR-2008-DelgrandeSTW #logic programming #semantics #set #source code
Belief Revision of Logic Programs under Answer Set Semantics (JPD, TS, HT, SW), pp. 411–421.
KRKR-2008-Kern-Isberner #reasoning
Linking Iterated Belief Change Operations to Nonmonotonic Reasoning (GKI), pp. 166–176.
KRKR-2008-YahiBLSP
A Lexicographic Inference for Partially Preordered Belief Bases (SY, SB, SL, MS, OP), pp. 507–517.
ICDARICDAR-2007-MinagawaFTF #analysis #image #layout #logic
Logical Structure Analysis for Form Images with Arbitrary Layout by Belief Propagation (AM, YF, HT, KF), pp. 714–718.
ICDARICDAR-2007-WeinmanLH #performance #recognition
Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation (JJW, EGLM, ARH), pp. 979–983.
ICPCICPC-2007-MirarabHT #co-evolution #network #predict #using
Using Bayesian Belief Networks to Predict Change Propagation in Software Systems (SM, AH, LT), pp. 177–188.
HCIHIMI-MTT-2007-KarshEAHSMPSAKSB #case study #predict #quality
Do Beliefs About Hospital Technologies Predict Nurses’ Perceptions of Their Ability to Provide Quality Care? A Study in Two Pediatric Hospitals (BTK, KE, SA, RJH, MS, KM, NP, TS, JA, RK, KS, RLB), pp. 77–83.
ICMLICML-2007-LiCLW #novel #orthogonal
A novel orthogonal NMF-based belief compression for POMDPs (XL, WKWC, JL, ZW), pp. 537–544.
PODSPODS-2006-Halpern #bibliography #knowledge base #perspective #statistics
From statistical knowledge bases to degrees of belief: an overview (JYH), pp. 110–113.
CHICHI-2006-PearsonHBPN #adaptation #behaviour #how #human-computer #word
Adaptive language behavior in HCI: how expectations and beliefs about a system affect users’ word choice (JP, JH, HPB, MJP, CN), pp. 1177–1180.
ICPRICPR-v1-2006-Bernier #3d #realtime #using
Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation (OB), pp. 90–93.
ICPRICPR-v1-2006-EvansF #validation
Cross Validation and Segment Support for Stereo Belief Propagati (ME, JMF), pp. 115–118.
ICPRICPR-v2-2006-BoccignoneMN
Inference of moving forms via Belief Propagation (GB, AM, PN), pp. 191–194.
ICPRICPR-v3-2006-KlausSK #adaptation #difference #self #using
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure (AK, MS, KFK), pp. 15–18.
ICPRICPR-v4-2006-TodorovicA #3d #classification #segmentation #using
3D Texture Classification Using the Belief Net of a Segmentation Tree (ST, NA), pp. 33–36.
KRKR-2006-GaudouHL
Grounding and the Expression of Belief (BG, AH, DL), pp. 221–229.
KRKR-2006-SardinaGLL #nondeterminism #on the #strict
On the Limits of Planning over Belief States under Strict Uncertainty (SS, GDG, YL, HJL), pp. 463–471.
OSDIOSDI-2006-KremenekTBNE #nondeterminism #specification
From Uncertainty to Belief: Inferring the Specification Within (TK, PT, GB, AYN, DRE), pp. 161–176.
WICSAWICSA-2005-TangJHN #architecture #design #impact analysis #network #predict
Predicting Change Impact in Architecture Design with Bayesian Belief Networks (AT, YJ, JH, AEN), pp. 67–76.
ICPRICPR-v2-2004-TanakaT #image #probability
Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation (KT, DMT), pp. 40–43.
KDDKDD-2004-DasMS
Belief state approaches to signaling alarms in surveillance systems (KD, AWM, JGS), pp. 539–544.
KRKR-2004-GilboaS
Evidence and Belief (IG, DS), pp. 733–734.
KRKR-2004-LiuLL #logic #reasoning
A Logic of Limited Belief for Reasoning with Disjunctive Information (YL, GL, HJL), pp. 587–597.
KRKR-2004-PeppasCF #distance #semantics
Distance Semantics for Relevance-Sensitive Belief Revision (PP, SC, NYF), pp. 319–328.
SIGIRSIGIR-2004-LauBS #adaptation #information retrieval
Belief revision for adaptive information retrieval (RYKL, PB, DS), pp. 130–137.
ASEASE-2003-GuoCS #fault #network #predict
Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks (LG, BC, HS), pp. 249–252.
MLDMMLDM-2003-DenoyerG #categorisation #documentation #generative #xml
A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization (LD, PG), pp. 328–342.
ICSTSAT-2003-BraunsteinZ #bibliography #random #satisfiability
Survey and Belief Propagation on Random K-SAT (AB, RZ), pp. 519–528.
ICMLICML-2002-LeckieR #distributed #learning #probability
Learning to Share Distributed Probabilistic Beliefs (CL, KR), pp. 371–378.
ICPRICPR-v2-2002-MinagawaUT
Region Extraction Based on Belief Propagation for Gaussian Model (AM, KU, NT), pp. 507–510.
KRKR-2002-Booth #social
Social Contraction and Belief Negotiation (RB), pp. 375–386.
KRKR-2002-Darwiche #approach #logic #network
A Logical Approach to Factoring Belief Networks (AD), pp. 409–420.
KRKR-2002-Saint-CyrL #how #predict
Belief Extrapolation (or how to Reason About Observations and Unpredicted Change) (FDdSC, JL), pp. 497–508.
SACSAC-2001-Chainbi #logic
A belief-goal-role logic for a single-agent system (WC), pp. 22–26.
TACASTACAS-2000-BenerecettiG #logic #model checking #protocol #security #using
Model Checking Security Protocols Using a Logic of Belief (MB, FG), pp. 519–534.
ICEISICEIS-2000-Emery #case study #network
The Use of Information Theory in the Construction of a Bayesian Belief Network: A Case Study (DEE), pp. 121–126.
ICMLICML-2000-AllenG #comparison #empirical #learning
Model Selection Criteria for Learning Belief Nets: An Empirical Comparison (TVA, RG), pp. 1047–1054.
ICPRICPR-v1-2000-AyersC #network #recognition #using #video
Scenario Recognition from Video Using a Hierarchy of Dynamic Belief Networks (DA, RC), pp. 1835–1838.
KRKR-2000-Maynard-ReidL #representation
Representing and Aggregating Conflicting Beliefs (PMRI, DJL), pp. 153–164.
KRKR-2000-ShapiroPLL #calculus
Iterated Belief Change in the Situation Calculus (SS, MP, YL, HJL), pp. 527–538.
KRKR-2000-Wassermann #algorithm
An Algorithm for Belief Revision (RW), pp. 345–352.
SIGIRSIGIR-2000-SilvaRCMZ #network
Link-based and content-based evidential information in a belief network model (IS, BARN, PC, ESdM, NZ), pp. 96–103.
SIGMODSIGMOD-1999-Jamil #database #deduction #reasoning
Belief Reasoning in MLS Deductive Databases (HMJ), pp. 109–120.
SIGIRSIGIR-1999-LosadaB #documentation #modelling #ranking #using
Using a Belief Revision Operator for Document Ranking in Extended Boolean Models (DEL, AB), pp. 66–73.
KDDKDD-1998-PadmanabhanT
A Belief-Driven Method for Discovering Unexpected Patterns (BP, AT), pp. 94–100.
KRKR-1998-Liberatore #on the #reasoning
On the Compilability of Diagnosis, Planning, Reasoning about Actions, Belief Revision, etc (PL), pp. 144–155.
CIKMCIKM-1997-ChengBL #approach #learning #network
Learning Belief Networks from Data: An Information Theory Based Approach (JC, DAB, WL), pp. 325–331.
ICMLICML-1997-Friedman #learning #network
Learning Belief Networks in the Presence of Missing Values and Hidden Variables (NF), pp. 125–133.
ICMLICML-1996-Suzuki #algorithm #learning #network #performance #using
Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique (JS), pp. 462–470.
KDDKDD-1996-Musick #learning #network
Rethinking the Learning of Belief Network Probabilities (RM), pp. 120–125.
KRKR-1996-Costello #modelling #using
Modeling Belief Change using Counterfactuals (TC), pp. 432–443.
KRKR-1996-FriedmanH
Belief Revision: A Critique (NF, JYH), pp. 421–431.
KRKR-1996-Williams #approach #towards
Towards a Practical Approach to Belief Revision: Reason-Based Change (MAW), pp. 412–420.
SIGIRSIGIR-1996-RibeiroM #information retrieval #network
A Belief Network Model for IR (BARN, RRM), pp. 253–260.
KRKR-1994-BrafmanT #modelling
Belief Ascription and Mental-Level Modelling (RIB, MT), pp. 87–98.
KRKR-1994-FriedmanH #framework #knowledge-based
A Knowledge-Based Framework for Belief Change, Part II: Revision and Update (NF, JYH), pp. 190–201.
KRKR-1994-LamarreS
Knowledge, Certainty, Belief, and Conditionalisation (Abbreviated Version) (PL, YS), pp. 415–424.
KRKR-1994-Meyden
Mutual Belief Revision (Preliminary Report) (RvdM), pp. 595–606.
SEKESEKE-1994-ShiHB #named
Belief: updating vs. combining (SS, MECH, DAB), pp. 344–351.
SIGIRSIGIR-1994-LoganRJ #information retrieval #modelling
Modelling Information Retrieval Agents with Belief Revision (BL, SR, KSJ), pp. 91–100.
ICLPILPS-1994-YouC #semantics
Tractable Argumentation Semantics via Iterative Belief Revision (JHY, RC), pp. 239–253.
KRKR-1992-Delgrande #logic
Accessibility in Logics of Explicit Belief (JPD), pp. 450–461.
KRKR-1992-GoldszmidtP #approach #reasoning
Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions (MG, JP), pp. 661–672.
KRKR-1991-ChouW #modelling #named
Immortal: A Model-Based Belief Revision System (ScTC, MW), pp. 99–110.
KRKR-1991-Doyle
Rational Belief Revision (JD), pp. 163–174.
KRKR-1991-Lakemeyer #on the
On the Relation between Explicit and Implicit Belief (GL), pp. 368–375.
KRKR-1991-Nebel #reasoning
Belief Revision and Default Reasoning: Syntax-Based Approaches (BN), pp. 417–428.
ICMLML-1990-Valtorta #complexity #knowledge base #network #refinement
More Results on the Complexity of Knowledge Base Refinement: Belief Networks (MV), pp. 419–426.
CSLCSL-1990-Huang #dependence #logic
Logics for Belief Dependence (ZH), pp. 274–288.
KRKR-1989-Barnden
Belief, Metaphorically Speaking (JAB), pp. 21–32.
KRKR-1989-Nebel #analysis
A Knowledge Level Analysis of Belief Revision (BN), pp. 301–311.
KRKR-1989-RaoF
Formal Theories of Belief Revision (ASR, NYF), pp. 369–380.
PODSPODS-1987-AptP #database #maintenance
Maintenance of Stratified Databases Viewed as a Belief Revision System (KRA, JMP), pp. 136–145.
ICALPICALP-1986-KrausL
Knowledge, Belief and Time (SK, DJL), pp. 186–195.

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