NIPS Proceedingsβ

Michael C. Mozer

38 Papers

  • Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning (2014)
  • Optimizing Instructional Policies (2013)
  • An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments (2011)
  • Improving Human Judgments by Decontaminating Sequential Dependencies (2010)
  • Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory (2009)
  • Sequential effects reflect parallel learning of multiple environmental regularities (2009)
  • Optimal Response Initiation: Why Recent Experience Matters (2008)
  • Temporal Dynamics of Cognitive Control (2008)
  • Experience-Guided Search: A Theory of Attentional Control (2007)
  • Context Effects in Category Learning: An Investigation of Four Probabilistic Models (2006)
  • Top-Down Control of Visual Attention: A Rational Account (2005)
  • Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity (2004)
  • Theories of Access Consciousness (2004)
  • Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems (2002)
  • A Rational Analysis of Cognitive Control in a Speeded Discrimination Task (2001)
  • Prodding the ROC Curve: Constrained Optimization of Classifier Performance (2001)
  • Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models (2000)
  • The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving (2000)
  • A Generative Model for Attractor Dynamics (1999)
  • Churn Reduction in the Wireless Industry (1999)
  • Robust Recognition of Noisy and Superimposed Patterns via Selective Attention (1999)
  • A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes (1998)
  • A Superadditive-Impairment Theory of Optic Aphasia (1997)
  • The Neurothermostat: Predictive Optimal Control of Residential Heating Systems (1996)
  • On the Computational Utility of Consciousness (1994)
  • Template-Based Algorithms for Connectionist Rule Extraction (1994)
  • A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction (1993)
  • A Connectionist Symbol Manipulator That Discovers the Structure of Context-Free Languages (1992)
  • Directional-Unit Boltzmann Machines (1992)
  • Metamorphosis Networks: An Alternative to Constructive Models (1992)
  • Induction of Multiscale Temporal Structure (1991)
  • Learning to Segment Images Using Dynamic Feature Binding (1991)
  • Rule Induction through Integrated Symbolic and Subsymbolic Processing (1991)
  • Connectionist Music Composition Based on Melodic and Stylistic Constraints (1990)
  • Discovering Discrete Distributed Representations with Iterative Competitive Learning (1990)
  • Discovering the Structure of a Reactive Environment by Exploration (1989)
  • TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations (1989)
  • Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment (1988)
  • 2 Books

  • Advances in Neural Information Processing Systems 9 (1996)
  • Advances in Neural Information Processing Systems 8 (1995)