Stem recurr$ (all stems)

69 papers:

CASE-2015-ChenY #monitoring #process

Heterogeneous recurrence T2 charts for monitoring and control of nonlinear dynamic processes (YC, HY), pp. 1066–1071.

DRR-2015-MiouletBCPB #architecture #multi #network #recognition

Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition (LM, GB, CC, TP, SB).

SAS-2015-BakhirkinBP #analysis #set

A Forward Analysis for Recurrent Sets (AB, JB, NP), pp. 293–311.

LATA-2015-BilottaPPR #problem

Recurrence Relations, Succession Rules, and the Positivity Problem (SB, EP, RP, SR), pp. 499–510.

ICML-2015-ChungGCB #feedback #network

Gated Feedback Recurrent Neural Networks (JC, ÇG, KC, YB), pp. 2067–2075.

ICML-2015-GregorDGRW #generative #image #named #network

DRAW: A Recurrent Neural Network For Image Generation (KG, ID, AG, DJR, DW), pp. 1462–1471.

ICML-2015-JozefowiczZS #architecture #empirical #network

An Empirical Exploration of Recurrent Network Architectures (RJ, WZ, IS), pp. 2342–2350.

VMCAI-2015-UrbanM #abstract interpretation #proving

Proving Guarantee and Recurrence Temporal Properties by Abstract Interpretation (CU, AM), pp. 190–208.

ICALP-v2-2014-OuaknineW #linear #on the #problem #sequence

On the Positivity Problem for Simple Linear Recurrence Sequences, (JO, JW), pp. 318–329.

ICALP-v2-2014-OuaknineW14a #decidability #linear #sequence

Ultimate Positivity is Decidable for Simple Linear Recurrence Sequences (JO, JW), pp. 330–341.

ICML-c1-2014-PinheiroC #network

Recurrent Convolutional Neural Networks for Scene Labeling (PHOP, RC), pp. 82–90.

ICML-c2-2014-GravesJ #network #recognition #speech #towards

Towards End-To-End Speech Recognition with Recurrent Neural Networks (AG, NJ), pp. 1764–1772.

ICML-c2-2014-MittelmanKSL #strict

Structured Recurrent Temporal Restricted Boltzmann Machines (RM, BK, SS, HL), pp. 1647–1655.

ICPR-2014-AlvaroSB #network

Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks (FA, JAS, JMB), pp. 2944–2949.

ICPR-2014-ChenWCN #detection #fault #modelling #network

Confusion Network Based Recurrent Neural Network Language Modeling for Chinese OCR Error Detection (JC, YW, HC, PN), pp. 1266–1271.

ICDAR-2013-AlvaroSB #classification #hybrid #network #online

Classification of On-Line Mathematical Symbols with Hybrid Features and Recurrent Neural Networks (FA, JAS, JMB), pp. 1012–1016.

ICDAR-2013-SchambachR #learning #network #sequence

Stabilize Sequence Learning with Recurrent Neural Networks by Forced Alignment (MPS, SFR), pp. 1270–1274.

LATA-2013-GocSS #automation #sequence #word

Primitive Words and Lyndon Words in Automatic and Linearly Recurrent Sequences (DG, KS, JS), pp. 311–322.

ICML-c3-2013-PascanuMB #network #on the

On the difficulty of training recurrent neural networks (RP, TM, YB), pp. 1310–1318.

CSCW-2012-NussliJ #interactive #programming #quality

Effects of sharing text selections on gaze cross-recurrence and interaction quality in a pair programming task (MAN, PJ), pp. 1125–1134.

ICPR-2012-ShiT

Background subtraction via early recurrence in dynamic scenes (XS, JKT), pp. 3172–3175.

ICML-2011-MartensS #learning #network #optimisation

Learning Recurrent Neural Networks with Hessian-Free Optimization (JM, IS), pp. 1033–1040.

ICML-2011-SutskeverMH #generative #network

Generating Text with Recurrent Neural Networks (IS, JM, GEH), pp. 1017–1024.

CSL-2011-Makowsky

Model Theory in Computer Science: My Own Recurrent Themes (JAM), pp. 553–567.

LATA-2010-CabessaV #classification #first-order #network

A Hierarchical Classification of First-Order Recurrent Neural Networks (JC, AEPV), pp. 142–153.

ICDAR-2009-Schambach #graph #recognition

Recurrent HMMs and Cursive Handwriting Recognition Graphs (MPS), pp. 1146–1150.

ICML-2009-Makino #network #predict #representation

Proto-predictive representation of states with simple recurrent temporal-difference networks (TM), pp. 697–704.

SAC-2009-ZhangLZZZZ #first-order #linear #optimisation

Optimizing techniques for saturated arithmetic with first-order linear recurrence (WZ, LL, CZ, HZ, BZ, CZ), pp. 1883–1889.

LCTES-2009-OhEPM #architecture #configuration management #scheduling

Recurrence cycle aware modulo scheduling for coarse-grained reconfigurable architectures (TO, BE, HP, SAM), pp. 21–30.

CAV-2009-VerdoolaegeJB #equivalence #source code #using

Equivalence Checking of Static Affine Programs Using Widening to Handle Recurrences (SV, GJ, MB), pp. 599–613.

SAS-2008-AlbertAGP #automation #bound #cost analysis

Automatic Inference of Upper Bounds for Recurrence Relations in Cost Analysis (EA, PA, SG, GP), pp. 221–237.

ITiCSE-2007-ByrdCCKK #problem #student

Solving recurring student problems with recurrences (JB, MC, DC, PK, MJK), p. 343.

HCI-MIE-2007-DerakhshiK #bound #fuzzy #network #predict #sequence #using #word

Using Recurrent Fuzzy Neural Networks for Predicting Word Boundaries in a Phoneme Sequence in Persian Language (MRFD, MRK), pp. 50–59.

ICEIS-AIDSS-2007-CuellarDP #algorithm #hybrid #network #problem

Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks (MPC, MD, MdCPJ), pp. 204–211.

ICEIS-AIDSS-2007-SkaruzSB #approach #detection #network #sql

Recurrent Neural Networks Approach to The Detection of SQL Attacks (JS, FS, PB), pp. 191–197.

PEPM-2006-LucaAAK #program transformation

Program transformation by solving recurrences (BL, SA, HA, SCK), pp. 121–129.

ICML-2006-GravesFGS #classification #network #sequence

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks (AG, SF, FJG, JS), pp. 369–376.

ICEIS-v2-2005-CuellarDJ #network #predict #problem #programming

An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems (MPC, MD, MdCPJ), pp. 35–42.

ICEIS-v2-2005-HuangK #network #online #recognition

A Recurrent Neural Network Recogniser for Online Recognition of Handwritten Symbols (BQH, MTK), pp. 27–34.

ICEIS-v2-2004-CuellarNJP #algorithm #case study #comparative #network #predict

A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness (MPC, AN, MdCPJ, RPP), pp. 461–464.

ICPR-v2-2004-MiyamotoUHIO #comparison #predict

Comparison of Microarray-Based Predictive Systems for Early Recurrence of Cancer (TM, SU, YH, NI, MO), pp. 347–350.

ICPR-v4-2004-ChenC04a #bidirectional #dependence #learning #network

Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies (JC, NSC), pp. 593–596.

KDD-2004-YanVS #predict

Predicting prostate cancer recurrence via maximizing the concordance index (LY, DV, OS), pp. 479–485.

VMCAI-2003-KroeningS #performance

Efficient Computation of Recurrence Diameters (DK, OS), pp. 298–309.

KDD-2002-LiangK #mining #network

Mining heterogeneous gene expression data with time lagged recurrent neural networks (YL, AK), pp. 415–421.

ICFP-2001-Grobauer #source code

Cost Recurrences for DML Programs (BG), pp. 253–264.

TLCA-2001-Danner #dependent type

Ramified Recurrence with Dependent Types (ND), pp. 91–105.

ICPR-v2-2000-WilsonH00a #correlation #optimisation

Optimizing Pattern Recovery in Recurrent Correlation Associative Memories (RCW, ERH), pp. 6005–6009.

ICDAR-1999-PalmeroD #documentation #using

Structured Document Labeling and Rule Extraction using a New Recurrent Fuzzy-neural System (GISP, YAD), pp. 181–184.

ICALP-1997-Roura #divide and conquer #theorem

An Improved Master Theorem for Divide-and-Conquer Recurrences (SR), pp. 449–459.

ICPR-1996-SongKL #architecture #network #pattern matching #pattern recognition #recognition

A new recurrent neural network architecture for pattern recognition (HHS, SMK, SWL), pp. 718–722.

ICDAR-v1-1995-LeeK95b #network #recognition

A new type of recurrent neural network for handwritten character recognition (SWL, YJK), pp. 38–41.

ICDAR-v1-1995-LeeL #network #recognition #segmentation

Integrated segmentation and recognition of connected handwritten characters with recurrent neural network (SWL, EJL), pp. 413–416.

PPoPP-1995-GhuloumF

Flattening and Parallelizing Irregular, Recurrent Loop Nests (AMG, ALF), pp. 58–67.

ICALP-1993-FlajoletG #divide and conquer

Exact Asymptotics of Divide-and-Conquer Recurrences (PF, MJG), pp. 137–149.

CAV-1993-Krishnakumar #composition #finite #reachability #state machine

Reachability and Recurrence in Extended Finite State Machines: Modular Vector Addition Systems (ASK), pp. 110–122.

DAC-1992-DamianiM #equation #logic #optimisation

Recurrence Equations and the Optimization of Synchronous Logic Circuits (MD, GDM), pp. 556–561.

ICALP-1992-Shallit #linear #set

Numeration Systems, Linear Recurrences, and Regular Sets (Extended Abstract) (JS), pp. 89–100.

ML-1992-OmlinG #higher-order #network #using

Training Second-Order Recurrent Neural Networks using Hints (CWO, CLG), pp. 361–366.

STOC-1991-Karp #probability

Probabilistic Recurrence Relations (RMK), pp. 190–197.

ICALP-1991-ChenH #logic programming

Logic Programming with Recurrence Domains (HC, JH), pp. 20–34.

CHI-1991-MurakamiT #gesture #network #recognition #using

Gesture recognition using recurrent neural networks (KM, HT), pp. 237–242.

PLDI-1990-AmmarguellatH #abstract interpretation #automation #induction #recognition

Automatic Recognition of Induction Variables and Recurrence Relations by Abstract Interpretation (ZA, WLHI), pp. 283–295.

SIGMOD-1986-GardarinM #database #evaluation #logic programming #recursion #source code

Evaluation of Database Recursive Logic Programs as Recurrent Function Series (GG, CdM), pp. 177–186.

LICS-1986-PerrinS #automaton #decidability #equivalence #integer #monad

Automata on the Integers, Recurrence Distinguishability, and the Equivalence and Decidability of Monadic Theories (DP, PES), pp. 301–304.

DAC-1981-BilgoryG #automation #generative

Automatic generation of cells for recurrence structures (AB, DDG), pp. 306–313.

ICALP-1978-Zilli #combinator #logic #normalisation

Head Recurrent Terms in Combinatory Logic: A Generalization of the Notion of Head Normal Form (MVZ), pp. 477–493.

GG-1978-LuckL #2d #difference #generative #graph #parallel

Two-Dimensional, Differential, Intercalary Plant Tissue Growth and Parallel Graph Generating and Graph Recurrence Systems (JL, HBL), pp. 284–300.

STOC-1975-HyafilK #complexity #evaluation #linear #parallel

The Complexity of Parallel Evaluation of Linear Recurrence (LH, HTK), pp. 12–22.