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Michael C. Mozer

Michael Mozer

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2009
53EEDan Knights, Todd Mytkowicz, Peter F. Sweeney, Michael C. Mozer, Amer Diwan: Blind Optimization for Exploiting Hardware Features. CC 2009: 251-265
2008
52EEJeremy Reynolds, Michael C. Mozer: Temporal Dynamics of Cognitive Control. NIPS 2008: 1353-1360
51EEMatt Jones, Michael C. Mozer, Sachiko Kinoshita: Optimal Response Initiation: Why Recent Experience Matters. NIPS 2008: 785-792
50EEMichael C. Mozer, Adrian Fan: Top-Down modulation of neural responses in visual perception: a computational exploration. Natural Computing 7(1): 45-55 (2008)
2007
49EEMichael Mozer, David Baldwin: Experience-Guided Search: A Theory of Attentional Control. NIPS 2007
48EESander M. Bohte, Michael C. Mozer: Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity. Neural Computation 19(2): 371-403 (2007)
2006
47EEMichael C. Mozer, Michael Jones, Michael Shettel: Context Effects in Category Learning: An Investigation of Four Probabilistic Models. NIPS 2006: 993-1000
46EEMichael C. Mozer: Rational Models of Cognitive Control. UC 2006: 20-25
2005
45 Sander M. Bohte, Michael C. Mozer: Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity. BNAIC 2005: 319-320
44EEMichael Mozer, Michael Shettel, Shaun Vecera: Top-Down Control of Visual Attention: A Rational Account. NIPS 2005
43EEMatthias Hauswirth, Amer Diwan, Peter F. Sweeney, Michael C. Mozer: Automating vertical profiling. OOPSLA 2005: 281-296
2004
42EEMichael Mozer: How Practice Makes Perfect. ICCM 2004: 13-13
41EESander M. Bohte, Michael C. Mozer: Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity. NIPS 2004
40EEMichael D. Colagrosso, Michael C. Mozer: Theories of Access Consciousness. NIPS 2004
2003
39 Lian Yan, Robert H. Dodier, Michael Mozer, Richard H. Wolniewicz: Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. ICML 2003: 848-855
2002
38EESepp Hochreiter, Michael Mozer, Klaus Obermayer: Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. NIPS 2002: 545-552
2001
37EESepp Hochreiter, Michael Mozer: A Discrete Probabilistic Memory Model for Discovering Dependencies in Time. ICANN 2001: 661-668
36EEMichael C. Mozer, Robert H. Dodier, Michael D. Colagrosso, Cesar Guerra-Salcedo, Richard H. Wolniewicz: Prodding the ROC Curve: Constrained Optimization of Classifier Performance. NIPS 2001: 1409-1415
35EEMichael C. Mozer, Michael D. Colagrosso, David E. Huber: A Rational Analysis of Cognitive Control in a Speeded Discrimination Task. NIPS 2001: 51-57
34 Richard S. Zemel, Michael Mozer: Localist Attractor Networks. Neural Computation 13(5): 1045-1064 (2001)
2000
33 David B. Grimes, Michael Mozer: The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving. NIPS 2000: 17-23
32 Sepp Hochreiter, Michael Mozer: Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models. NIPS 2000: 535-541
1999
31EESoo-Young Lee, Michael Mozer: Robust Recognition of Noisy and Superimposed Patterns via Selective Attention. NIPS 1999: 31-37
30EERichard S. Zemel, Michael Mozer: A Generative Model for Attractor Dynamics. NIPS 1999: 80-88
29EEMichael Mozer, Richard H. Wolniewicz, David B. Grimes, Eric Johnson, Howard Kaushansky: Churn Reduction in the Wireless Industry. NIPS 1999: 935-941
28EEJay A. Alexander, Michael Mozer: Template-based procedures for neural network interpretation. Neural Networks 12(3): 479-498 (1999)
1998
27EEMichael Mozer: A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes. NIPS 1998: 52-58
26EESreerupa Das, Michael Mozer: Dynamic On-line Clustering and State Extraction: An Approach to Symbolic Learning. Neural Networks 11(1): 53-64 (1998)
1997
25 Michael Mozer, Michael I. Jordan, Thomas Petsche: Advances in Neural Information Processing Systems 9, NIPS, Denver, CO, USA, December 2-5, 1996 MIT Press 1997
24 Michael Mozer, Mark Sitton, Martha J. Farah: A Superadditive-Impairment Theory of Optic Aphasia. NIPS 1997
23EEMichael Mozer, Debra Miller: Parsing the Stream of Time: The Value of Event-Based Segmentation in a Complex Real-World Control Problem. Summer School on Neural Networks 1997: 370-388
22EEBrad Calder, Dirk Grunwald, Michael P. Jones, Donald C. Lindsay, James H. Martin, Michael Mozer, Benjamin G. Zorn: Evidence-Based Static Branch Prediction Using Machine Learning. ACM Trans. Program. Lang. Syst. 19(1): 188-222 (1997)
1996
21 David S. Touretzky, Michael Mozer, Michael E. Hasselmo: Advances in Neural Information Processing Systems 8, NIPS, Denver, CO, November 27-30, 1995 MIT Press 1996
20EEMichael Mozer, Lucky Vidmar, Robert H. Dodier: The Neurothermostat: Predictive Optimal Control of Residential Heating Systems. NIPS 1996: 953-959
1995
19 Brad Calder, Dirk Grunwald, Donald C. Lindsay, James H. Martin, Michael Mozer, Benjamin G. Zorn: Corpus-Based Static Branch Prediction. PLDI 1995: 79-92
18EERichard S. Zemel, Christopher K. I. Williams, Michael Mozer: Lending direction to neural networks. Neural Networks 8(4): 503-512 (1995)
1994
17EEDonald W. Mathis, Michael Mozer: On the Computational Utility of Consciousness. NIPS 1994: 11-18
16EEJay A. Alexander, Michael Mozer: Template-Based Algorithms for Connectionist Rule Extraction. NIPS 1994: 609-616
1993
15 Clayton McMillan, Michael Mozer, Paul Smolensky: Dynamic Conflict Resolution in a Connectionist Rule-Based System. IJCAI 1993: 1366-1373
14EESreerupa Das, Michael Mozer: A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction. NIPS 1993: 19-26
1992
13EEBrian V. Bonnlander, Michael Mozer: Metamorphosis Networks: An Alternative to Constructive Models. NIPS 1992: 131-138
12EERichard S. Zemel, Christopher K. I. Williams, Michael Mozer: Directional-Unit Boltzmann Machines. NIPS 1992: 172-179
11EEMichael Mozer, Sreerupa Das: A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages. NIPS 1992: 863-870
1991
10EEMichael Mozer: Induction of Multiscale Temporal Structure. NIPS 1991: 275-282
9EEMichael Mozer, Richard S. Zemel, Marlene Behrmann: Learning to Segment Images Using Dynamic Feature Binding. NIPS 1991: 436-443
8EEClayton McMillan, Michael Mozer, Paul Smolensky: Rule Induction through Integrated Symbolic and Subsymbolic Processing. NIPS 1991: 969-976
7 Michael Mozer: Neural network music composition and the induction of multiscale temporal structure. Wissensbasierte Systeme 1991: 448-458
6 Michael Mozer, Jonathan Bachrach: SLUG: A Connectionist Architecture for Inferring the Structure of Finite-State Environments. Machine Learning 7: 139-160 (1991)
1990
5EEMichael Mozer: Discovering Discrete Distributed Representations. NIPS 1990: 627-634
4EEMichael Mozer, Todd Soukup: Connectionist Music Composition Based on Melodic and Stylistic Constraints. NIPS 1990: 789-796
1989
3EERichard S. Zemel, Michael Mozer, Geoffrey E. Hinton: TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. NIPS 1989: 266-273
2EEMichael Mozer, Jonathan Bachrach: Discovering the Structure of a Reactive Environment by Exploration. NIPS 1989: 439-446
1988
1EEMichael Mozer, Paul Smolensky: Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment. NIPS 1988: 107-115

Coauthor Index

1Jay A. Alexander [16] [28]
2Jonathan Bachrach [2] [6]
3David Baldwin [49]
4Marlene Behrmann [9]
5Sander M. Bohte [41] [45] [48]
6Brian V. Bonnlander [13]
7Brad Calder [19] [22]
8Michael D. Colagrosso [35] [36] [40]
9Sreerupa Das [11] [14] [26]
10Amer Diwan [43] [53]
11Robert H. Dodier [20] [36] [39]
12Adrian Fan [50]
13Martha J. Farah [24]
14David B. Grimes [29] [33]
15Dirk Grunwald [19] [22]
16Cesar Guerra-Salcedo [36]
17Michael E. Hasselmo [21]
18Matthias Hauswirth [43]
19Geoffrey E. Hinton [3]
20Sepp Hochreiter [32] [37] [38]
21David E. Huber [35]
22Eric Johnson [29]
23Matt Jones [51]
24Michael Jones [47]
25Michael P. Jones [22]
26Michael I. Jordan [25]
27Howard Kaushansky [29]
28Sachiko Kinoshita [51]
29Dan Knights [53]
30Soo-Young Lee [31]
31Donald C. Lindsay [19] [22]
32James H. Martin [19] [22]
33Donald W. Mathis [17]
34Clayton McMillan [8] [15]
35Debra Miller [23]
36Todd Mytkowicz [53]
37Klaus Obermayer [38]
38Thomas Petsche [25]
39Jeremy Reynolds [52]
40Michael Shettel [44] [47]
41Mark Sitton [24]
42Paul Smolensky [1] [8] [15]
43Todd Soukup [4]
44Peter F. Sweeney [43] [53]
45David S. Touretzky [21]
46Shaun Vecera [44]
47Lucky Vidmar [20]
48Christopher K. I. Williams [12] [18]
49Richard H. Wolniewicz [29] [36] [39]
50Lian Yan [39]
51Richard S. Zemel [3] [9] [12] [18] [30] [34]
52Benjamin G. Zorn [19] [22]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)