| * | 2009 |
|---|
| 78 | EE | Zoltán Szabó,
András Lörincz:
Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles.
ICA 2009: 146-153 |
| 77 | EE | Istvan Szita,
András Lörincz:
Optimistic initialization and greediness lead to polynomial time learning in factored MDPs.
ICML 2009: 126 |
| 76 | EE | Istvan Szita,
András Lörincz:
Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version
CoRR abs/0904.3352: (2009) |
| 75 | EE | Katalin Anna Lázár,
Erzsébet Csuhaj-Varjú,
András Lörincz,
György Vaszil:
Dynamically formed Clusters of Agents in Eco-Grammar Systems.
Int. J. Found. Comput. Sci. 20(2): 293-311 (2009) |
| 74 | EE | András Lörincz,
Gábor Szirtes:
Here and now: How time segments may become events in the hippocampus.
Neural Networks 22(5-6): 738-747 (2009) |
| 2008 |
|---|
| 73 | EE | Istvan Szita,
András Lörincz:
The many faces of optimism: a unifying approach.
ICML 2008: 1048-1055 |
| 72 | EE | Barnabás Póczos,
András Lörincz:
D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks
CoRR abs/0801.1883: (2008) |
| 71 | EE | Istvan Szita,
András Lörincz:
Online variants of the cross-entropy method
CoRR abs/0801.1988: (2008) |
| 70 | EE | Istvan Szita,
András Lörincz:
Factored Value Iteration Converges
CoRR abs/0801.2069: (2008) |
| 69 | EE | Istvan Szita,
András Lörincz:
The many faces of optimism - Extended version
CoRR abs/0810.3451: (2008) |
| 2007 |
|---|
| 68 | EE | Zoltán Szabó,
Barnabás Póczos,
András Lörincz:
Undercomplete Blind Subspace Deconvolution Via Linear Prediction.
ECML 2007: 740-747 |
| 67 | EE | Barnabás Póczos,
Zoltán Szabó,
Melinda Kiszlinger,
András Lörincz:
Independent Process Analysis Without a Priori Dimensional Information.
ICA 2007: 252-259 |
| 66 | EE | Zoltán Szabó,
Barnabás Póczos,
Gábor Szirtes,
András Lörincz:
Post Nonlinear Independent Subspace Analysis.
ICANN (1) 2007: 677-686 |
| 65 | EE | Viktor Gyenes,
András Lörincz:
Co-learning and the Development of Communication.
ICANN (1) 2007: 827-837 |
| 64 | EE | Istvan Szita,
András Lörincz:
Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man.
J. Artif. Intell. Res. (JAIR) 30: 659-684 (2007) |
| 63 | EE | Bálint Takács,
András Lörincz:
Simple conditions for forming triangular grids.
Neurocomputing 70(10-12): 1741-1747 (2007) |
| 62 | EE | András Lörincz,
Zoltán Szabó:
Neurally plausible, non-combinatorial iterative independent process analysis.
Neurocomputing 70(7-9): 1569-1573 (2007) |
| 2006 |
|---|
| 61 | EE | Zoltán Szabó,
Barnabás Póczos,
András Lörincz:
Cross-Entropy Optimization for Independent Process Analysis.
ICA 2006: 909-916 |
| 60 | EE | Márton Albert Hajnal,
András Lörincz:
Critical Echo State Networks.
ICANN (1) 2006: 658-667 |
| 59 | EE | Istvan Szita,
Viktor Gyenes,
András Lörincz:
Reinforcement Learning with Echo State Networks.
ICANN (1) 2006: 830-839 |
| 58 | EE | Zsolt Palotai,
Sándor Mandusitz,
András Lörincz:
Computer study of the evolution of 'news foragers' on the Internet.
Swarm Intelligence in Data Mining 2006: 203-219 |
| 57 | EE | Zoltán Szabó,
András Lörincz:
epsilon - Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks.
Acta Cybern. 17(3): (2006) |
| 56 | EE | Istvan Szita,
András Lörincz:
Low-complexity modular policies: learning to play Pac-Man and a new framework beyond MDPs
CoRR abs/cs/0610170: (2006) |
| 55 | EE | Gábor Ziegler,
Csilla Farkas,
András Lörincz:
A framework for anonymous but accountable self-organizing communities.
Information & Software Technology 48(8): 726-744 (2006) |
| 54 | EE | Istvan Szita,
András Lörincz:
Learning Tetris Using the Noisy Cross-Entropy Method.
Neural Computation 18(12): 2936-2941 (2006) |
| 53 | EE | Bálint Takács,
András Lörincz:
Independent component analysis forms place cells in realistic robot simulations.
Neurocomputing 69(10-12): 1249-1252 (2006) |
| 52 | EE | Barnabás Póczos,
András Lörincz:
Non-combinatorial estimation of independent autoregressive sources.
Neurocomputing 69(16-18): 2416-2419 (2006) |
| 2005 |
|---|
| 51 | EE | Zsolt Palotai,
Csilla Farkas,
András Lörincz:
Selection in Scale-Free Small World.
CEEMAS 2005: 579-582 |
| 50 | EE | György Hévízi,
B. Geröfi,
B. Szendrö,
András Lörincz:
Assisting Robotic Personal Agent and Cooperating Alternative Input Devices for Severely Disabled Children.
CEEMAS 2005: 591-594 |
| 49 | EE | Barnabás Póczos,
Bálint Takács,
András Lörincz:
Independent Subspace Analysis on Innovations.
ECML 2005: 698-706 |
| 48 | EE | Barnabás Póczos,
András Lörincz:
Independent Subspace Analysis Using k-Nearest Neighborhood Distances.
ICANN (2) 2005: 163-168 |
| 47 | EE | Barnabás Póczos,
András Lörincz:
Independent subspace analysis using geodesic spanning trees.
ICML 2005: 673-680 |
| 46 | EE | Bálint Gábor,
Viktor Gyenes,
András Lörincz:
Corpus-Based Neural Network Method for Explaining Unknown Words by WordNet Senses.
PKDD 2005: 470-477 |
| 45 | EE | Zsolt Palotai,
Csilla Farkas,
András Lörincz:
Selection in Scale-Free Small World
CoRR abs/cs/0504063: (2005) |
| 44 | EE | Zsolt Palotai,
Bálint Gábor,
András Lörincz:
Adaptive Highlighting Of Links To Assist Surfing On The Internet.
International Journal of Information Technology and Decision Making 4(1): 117-140 (2005) |
| 43 | EE | Gábor Szirtes,
Barnabás Póczos,
András Lörincz:
Neural Kalman filter.
Neurocomputing 65-66: 349-355 (2005) |
| 2004 |
|---|
| 42 | EE | Istvan Szita,
András Lörincz:
Applying Policy Iteration for Training Recurrent Neural Networks
CoRR cs.AI/0410004: (2004) |
| 41 | EE | Zoltán Szabó,
András Lörincz:
L1 regularization is better than L2 for learning and predicting chaotic systems
CoRR cs.LG/0410015: (2004) |
| 40 | EE | András Lörincz:
Intelligent encoding and economical communication in the visual stream
CoRR q-bio.NC/0403022: (2004) |
| 39 | EE | Istvan Szita,
András Lörincz:
Kalman Filter Control Embedded into the Reinforcement Learning Framework.
Neural Computation 16(3): 491-499 (2004) |
| 38 | EE | György Hévízi,
T. Marcinkovics,
András Lörincz:
Improving recognition accuracy on structured documents by learning structural patterns.
Pattern Anal. Appl. 7(1): 66-76 (2004) |
| 2003 |
|---|
| 37 | EE | Bálint Takács,
Istvan Szita,
András Lörincz:
Temporal plannability by variance of the episode length
CoRR cs.AI/0301006: (2003) |
| 36 | EE | Barnabás Póczos,
András Lörincz:
Kalman-filtering using local interactions
CoRR cs.AI/0302039: (2003) |
| 35 | EE | Zsolt Palotai,
Sándor Mandusitz,
András Lörincz:
Centralized reward system gives rise to fast and efficient work sharing for intelligent Internet agents lacking direct communication
CoRR cs.IR/0308042: (2003) |
| 34 | EE | Istvan Szita,
András Lörincz:
Kalman filter control in the reinforcement learning framework
CoRR cs.LG/0301007: (2003) |
| 33 | EE | Istvan Szita,
András Lörincz:
Reinforcement Learning with Linear Function Approximation and LQ control Converges
CoRR cs.LG/0306120: (2003) |
| 32 | EE | András Lörincz:
Controlled hierarchical filtering: Model of neocortical sensory processing
CoRR cs.NE/0308025: (2003) |
| 31 | EE | András Lörincz,
Barnabás Póczos:
Cost Component Analysis.
Int. J. Neural Syst. 13(3): 183-192 (2003) |
| 30 | EE | Botond Szatmáry,
Gábor Szirtes,
András Lörincz:
Robust hierarchical image representation using non-negative matrix factorisation with sparse code shrinkage preprocessing.
Pattern Anal. Appl. 6(3): 194-200 (2003) |
| 2002 |
|---|
| 29 | | Istvan Szita,
Bálint Takács,
András Lörincz:
Reinforcement Learning Integrated with a Non-Markovian Controller.
ECAI 2002: 365-369 |
| 28 | | Botond Szatmáry,
Barnabás Póczos,
Julian Eggert,
Edgar Körner,
András Lörincz:
Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms.
ECAI 2002: 503-507 |
| 27 | EE | Csilla Farkas,
Gábor Ziegler,
Attila Meretei,
András Lörincz:
Anonymity and accountability in self-organizing electronic communities.
WPES 2002: 81-90 |
| 26 | EE | István Kókai,
András Lörincz:
Fast adapting value estimation-based hybrid architecture for searching the world-wide web.
Appl. Soft Comput. 2(1): 11-23 (2002) |
| 25 | EE | Zsolt Palotai,
T. Kandár,
Z. Mohr,
T. Visegrády,
Gábor Ziegler,
P. Arató,
András Lörincz:
Value Prediction in HLS Allocation Problems Using Intellectual Properties.
Applied Artificial Intelligence 16(2): 117-157 (2002) |
| 24 | EE | Istvan Szita,
Bálint Takács,
András Lörincz:
Searching for Plannable Domains can Speed up Reinforcement Learning
CoRR cs.AI/0212025: (2002) |
| 23 | EE | András Lörincz,
István Kókai,
Attila Meretei:
Intelligent High-Performance Crawlers Used to Reveal Topic-Specific Structure of WWW.
Int. J. Found. Comput. Sci. 13(4): 477-495 (2002) |
| 22 | EE | András Lörincz,
Gábor Szirtes,
Bálint Takács,
Irving Biederman,
Rufin Vogels:
Relating Priming and Repetition Suppression.
Int. J. Neural Syst. 12(3-4): 187-201 (2002) |
| 21 | | András Lörincz,
Botond Szatmáry,
Gábor Szirtes:
The Mystery of Structure and Function of Sensory Processing Areas of the Neocortex: A Resolution.
Journal of Computational Neuroscience 13(3): 187-205 (2002) |
| 20 | EE | Istvan Szita,
Bálint Takács,
András Lörincz:
MDPs: Learning in Varying Environments.
Journal of Machine Learning Research 3: 145-174 (2002) |
| 2001 |
|---|
| 19 | EE | Gábor Ziegler,
Zsolt Palotai,
Tibor Cinkler,
P. Arató,
András Lörincz:
Value Prediction in Engineering Applications.
IEA/AIE 2001: 25-34 |
| 18 | EE | András Lörincz,
György Hévízi,
Csaba Szepesvári:
Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops.
Int. J. Neural Syst. 11(2): 125-143 (2001) |
| 17 | | Botond Szatmáry,
András Lörincz:
Independent Component Analysis of Temporal Sequences Subject to Constraints by Lateral Geniculate Nucleus Inputs Yields All the Three Major Cell Types of the Primary Visual Cortex.
Journal of Computational Neuroscience 11(3): 241-248 (2001) |
| 16 | EE | András Lörincz,
Botond Szatmáry,
Ata Kabán:
Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences.
Neurocomputing 38-40: 1437-1442 (2001) |
| 15 | EE | András Lörincz,
Gábor Szirtes,
Bálint Takács,
György Buzsáki:
Independent component analysis of temporal sequences forms place cells.
Neurocomputing 38-40: 769-774 (2001) |
| 2000 |
|---|
| 14 | EE | Zsolt Kalmár,
Csaba Szepesvári,
András Lörincz:
Modular Reinforcement Learning: A Case Study in a Robot Domain.
Acta Cybern. 14(3): 507-522 (2000) |
| 1999 |
|---|
| 13 | EE | Zsolt Kalmár,
Zsolt Marczell,
Csaba Szepesvári,
András Lörincz:
Parallel and robust skeletonization built on self-organizing elements.
Neural Networks 12(1): 163-173 (1999) |
| 1998 |
|---|
| 12 | | Zsolt Kalmár,
Csaba Szepesvári,
András Lörincz:
Module-Based Reinforcement Learning: Experiments with a Real Robot.
Auton. Robots 5(3-4): 273-295 (1998) |
| 11 | | Zsolt Kalmár,
Csaba Szepesvári,
András Lörincz:
Module-Based Reinforcement Learning: Experiments with a Real Robot.
Machine Learning 31(1-3): 55-85 (1998) |
| 1997 |
|---|
| 10 | EE | Zsolt Kalmár,
Csaba Szepesvári,
András Lörincz:
Module Based Reinforcement Learning: An Application to a Real Robot.
EWLR 1997: 29-45 |
| 9 | | M. Oláh,
P. Masa,
András Lörincz:
A Mixed-Signal VLSI Circuit for Skeletonization by Grassfire Transformation.
ICANN 1997: 1205-1210 |
| 8 | | András Lörincz:
Hippocampal Formation Trains Independent Components via Forcing Input Reconstruction.
ICANN 1997: 163-168 |
| 7 | EE | András Lörincz:
Static and Dynamic State Feedback Control Model of Basal Ganglia-Thalamocortical Loops.
Int. J. Neural Syst. 8(3): 339-357 (1997) |
| 6 | EE | Csaba Szepesvári,
Szabolcs Cimmer,
András Lörincz:
Neurocontroller using dynamic state feedback for compensatory control.
Neural Networks 10(9): 1691-1708 (1997) |
| 1996 |
|---|
| 5 | | Stephane Tavitian,
Tibor Fomin,
András Lörincz:
Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight Modulation.
ICANN 1996: 697-702 |
| 4 | | Csaba Szepesvári,
András Lörincz:
Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers.
ICANN 1996: 791-796 |
| 3 | EE | Tibor Fomin,
Tamás Rozgonyi,
Csaba Szepesvári,
András Lörincz:
Self-Organizing Multi-Resolution Grid for Motion Planning and Control.
Int. J. Neural Syst. 7(6): 757- (1996) |
| 2 | EE | Csaba Szepesvári,
András Lörincz:
Approximate geometry representations and sensory fusion.
Neurocomputing 12(2-3): 267-287 (1996) |
| 1994 |
|---|
| 1 | EE | Csaba Szepesvári,
László Balázs,
András Lörincz:
Topology Learning Solved by Extended Objects: A Neural Network Model.
Neural Computation 6(3): 441-458 (1994) |
