- AFS and HAC: Domain-General Agent Simulation and Control Marc S. Atkin, David L. Westbrook, Paul R. Cohen
- Towards an Automated Empirical Assistant Dawn E. Gregory and Paul R. Cohen
- How to Find Big-Oh in Your Data Set (and How Not To) C. C. McGeoch
- Preliminary System Design for an EDA Assistant Robert St. Amant and Paul R. Cohen
- Fault Identi cation in Computer Networks: A Review and a New Approach
- Is Guilt by Association a Bad Thing? Aram Galstyan and Paul R. Cohen
- Over tting Explained Paul R. Cohen, David Jensen
- Searching for Structure in Multiple Streams of Data Computer Science Department, LGRC
- Accepted to WACC-99 1 Coordinating Agent Activities in Knowledge Discovery
- Learning What Is Relevant to the E ects of Actions for a Mobile Robot Matthew D. Schmill, Michael T. Rosenstein, Paul R. Cohen, and Paul Utgo
- E cient Progressive Sampling Foster Provost
- To appear in Learning from Data: Arti cial Intelligence and Statistics, D. Fisher and H. Lenz (Eds.), 1995. Control Representation
- Dynamic Maps as Representations of Verbs1 Department of Computer Science
- Planning and user interface affordances Robert St. Amant
- Figure 1. Criteria for evaluating methods. Figure 2. Criteria for evaluating method implementation.
- Header for SPIE use Dynamic Visualization of Battle Simulations
- An Empirical Study of Dynamic Scheduling on Rings of Processors Extended Abstract
- Measuring Confidence Intervals in Link Discovery: A Bootstrap Approach
- Proceedings of the 2003 Winter Simulation Conference S. Chick, P. J. Snchez, D. Ferrin, and D. J. Morrice, eds.
- Getting What You Deserve from Data Paul R. Cohen
- Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers Aram Galstyan and Paul Cohen
- The Hats Simulator and Colab: An Integrated Information Fusion Challenge
- Proceedings of the 2004 Winter Simulation Conference R. G. Ingalls, M. D. Rossetti, J. S. Smith, and B. A. Peters, eds.
- Bonferroni pruning Adjusting for Multiple Comparisons in Decision Tree Pruning
- Book Editors IOS Press, 2003
- Detecting Complex Dependencies in Categorical Data Tim Oates, Matthew D. Schmill, Dawn E. Gregory and Paul R. Cohen
- Bayesian Clustering of Sensory Inputs by Dynamics Paola Sebastiani
- Evaluation of a Semi-Autonomous Assistant for Exploratory Data Analysis
- Mining propositional dynamics from sensory input Paul R. Cohen
- http://uex.sagepub.com Urban Education
- Intelligent Data Analysis in the 21st Century Paul Cohen1, Niall Adams2
- Maximizing Influence Propagation in Networks with Community Structure Aram Galstyan1
- Temporal Data Mining for Educational Applications Carole R. Beal & Paul R. Cohen
- The Design, Deployment and Evaluation of the AnimalWatch Intelligent Tutoring System
- Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification
- Learning in Wubble World Wesley Kerr, Shane Hoversten, Daniel Hewlett
- Voting Experts: An Unsupervised Algorithm for Segmenting Paul Cohen1
- The Hats Information Fusion Challenge Problem Clayton T. Morrison and Paul R. Cohen
- Experimental State Splitting for Transfer Learning Clayton T. Morrison clayton@isi.edu
- Transfer in Learning by Doing Bill Krueger, Tim Oates, Tom Armstrong
- Population Generation for Large-Scale Simulation Andrew C. Hannona, Gary Kinga, Clayton Morrisonb, Aram Galstyanb and Paul Cohenb
- Noisy Information Value in Utility-based Decision Making Clayton T. Morrison
- When Push Comes to Shove: A Study of the Relation Between Interaction Dynamics and Verb Use
- A Bayesian Blackboard for Information Fusion Charles Sutton Clayton Morrison, Paul R. Cohen, Joshua Moody, Jafar Adibi
- Clustering Main Concepts from e-Mails Jesus S. Aguilar-Ruiz1
- Information Theory and Representation in Associative Word Learning Brendan Burns, Charles Sutton, Clayton Morrison, Paul Cohen
- Intelligent modeling of the user in interactive entertainment Carole R. Beal1
- Segmenting Time Series with a Hybrid Neural Networks -Hidden Markov Model Laura Firoiu
- Voting Experts. Cohen and Adams. An Algorithm for Segmenting Categorical Time Series into
- Two Algorithms for Learning the Parameters of Stochastic Context-Free Brent Heeringa
- AN UNDERLYING MODEL FOR DEFEAT MECHANISMS Brent Heeringa
- Unsupervised Clustering of Robot Activities: A Bayesian Approach Paul Cohen, Marco Ramoni, Paola Sebastiani and John Warwick
- On Explaining Behavior Department of Philosophy
- An approach to visual interaction in mixed-initiative planning David A. Pegram Robert St. Amant Mark Riedl
- Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
- Identifying Qualitatively Di erent Outcomes of Actions: Experiments with a Mobile Robot
- Abstracting from Robot Sensor Data using Hidden Markov Models
- Unsupervised Classi cation of Sensory Inputs in a Mobile Robot Paola Sebastiani
- Continuous Categories For a Mobile Robot Michael T. Rosenstein and Paul R. Cohen
- Learning Quantitative Knowledge for Multiagent Coordination David Jensen, Michael Atighetchi, Regis Vincent, Victor Lesser
- Does Prior Knowledge Facilitate the Development of Knowledge-based Systems?
- Statistical Challenges to Inductive Inference in Linked Data David Jensen
- Physical Planning and Dynamics Marc S. Atkin and Paul R. Cohen
- Learning Regular Languages from Positive Evidence Laura Firoiuy 1
- A Dynamical Basis for the Semantic Content of Verbs Paul R. Cohen and Tim Oates
- Concepts From Time Series Michael T. Rosenstein and Paul R. Cohen
- Integrating Many Techniques for Discovering Structure in Data
- jensen@cs.umass.edu David Jensen
- jensen|oates|cohen @cs.umass.edu http://www.ics.uci.edu/ mlearn/MLRepository.html
- How to Find Big-Oh in Your Data Set (and How Not To) C. C. McGeoch
- The E ects of Training Set Size on Decision Tree Complexity
- A Family of Algorithms for Finding Temporal Structure in Data1 Tim Oates, Matthew D. Schmill, David Jensen, and Paul R. Cohen
- Interaction with a Mixed-Initiative System for Exploratory Data Analysis
- Building an EDA Assistant: A Progress Report Robert St. Amant
- Monitoring Strategies for Embedded Agents: Experiments and Marc S. Atkin and Paul R. Cohen
- Building A Baby Paul R. Cohen, Tim Oates, Marc S. Atkin
- A Planner for Exploratory Data Analysis Robert St. Amant and Paul R. Cohen
- Simulation for ARPI and the Air Campaign Simulator Scott Anderson
- In Working Notes of the Symposium on Representing Mental States and Mechanisms, AAAI-95 Spring Symposium Series, pp. 15-21.
- A FUNCTION MODELLING APPROACH TO EMPIRICAL SCIENCE Dawn E. Gregory and Paul R. Cohen
- Detecting Complex Dependencies in Categorical Data
- Tools for Experiments in Planning Scott D. Anderson
- In Proceedings of the Sixth International IEEE Conference on Tools with Arti cial Intelligence (1994), pp. 615-623. Tools for Experiments in Planning
- Learning Monitoring Strategies: A Di cult Genetic Programming Application
- Handbook of Evaluation for the ARPA/Rome Lab Planning Initiative
- Regression Based Causal Induction With Latent Variable Models Lisa A. Ballesteros
- The Interval Reduction Strategy for Monitoring Cupcake Problems Paul R. Cohen, Marc S. Atkin, and Eric A. Hansen
- Path Analysis Models of an Autonomous Agent
- Networked Information Retrieval as Distributed Problem Solving
- Evaluation of a Mixed-Initiative Approach to Schedule Maintenance
- Toward the Integration of Exploration and Modeling
- A PLANNING REPRESENTATION FOR AUTOMATED EXPLORATORY DATA ANALYSIS*
- AUTOMATED ANALYSIS OF COMPLEX DATA*
- Early Warnings of Plan Failure, Falso Positives and Envelopes: Experiments and a Model *
- Predicting and Explaining Success and Task Duration
- Analyzing Failure Recovery to Improve Planner Design
- AI Magazine, Vol. 11, No. 4, pp. 16-41, 1991. A Survey of the Eighth National
- LIFT-The LIsp Framework for Testing Computer Science Department, LGRC
- Finding Patterns that Correspond to Episodes Keywords: knowledge discovery, machine learning, cognitive robotics; Tracking number: 748
- Natural Semantics for a Mobile Robot Paul R. Cohen
- Learning Concepts by Interaction Paul R. Cohen
- Using Syntax to Learn Semantics: An Experiment in Language Acquisition with a Mobile Robot
- Growing Ontologies Paul R. Cohen
- A Randomized ANOVA Procedure for Comparing Performance Curves
- Automatically Acquiring Rules for Event Correlation From Event Logs
- Parallel and Distributed Search for Structure in Multivariate Time Series
- Learning Predictive Generalizations for Multiple Streams: An Incremental Algorithm
- Humans Plus Agents Maintain Schedules Better
- Common Lisp Analytical Statistics Package
- Visualization Tools for Real-time Search Algorithms
- Resolving con icts in collaborative human-computer interaction (extended abstract)
- Projections as Concepts Paul R. Cohen
- Learning Planning Operators with Conditional and Probabilistic E ects
- Genetic Programming to Learn an Agent's Monitoring Strategy *
- Panel Discussion: Collaboration Between Academia and Industry: A Case Study
- Relational Classification Through ThreeState Epidemic Aram Galstyan
- Mixed-Initiative Schedule Maintenance: A First Step Toward Plan Steering
- Very Predictive Ngrams for Space-Limited Probabilistic Models
- Cost-Effective Sensing During Plan Execution Eric A. Hansen
- Action Representation, Prediction and Concepts Michael T. Rosenstein, Paul R. Cohen, Matthew D. Schmill, and Marc S. Atkin
- A Toolbox for Analyzing Programs Scott D. Anderson
- Running Head: SEMANTIC REPRESENTATION OF VERBS Talk about motion: The semantic representation of verbs by motion dynamics
- E cient Mining of Statistical Dependencies Tim Oates, Matthew D. Schmill, Paul R. Cohen and Casey Durfee
- Cascading Dynamics in Modular Networks Aram Galstyan and Paul Cohen
- Searching Continuous State Spaces E ectively Using Critical Points Keywords: search or optimization, multi-agent simulation
- If not Turing's test, then what? September 20, 2005
- Discovering Dynamics using Bayesian Clustering Paola Sebastiani1 Marco Ramoni2 Paul Cohen3 John Warwick3 James Davis3
- Toward a Plan Steering Agent: Experiments with
- An Image Schema Language Robert St. Amant, Clayton T. Morrison, Yu-Han Chang
- Monitoring in Embedded Agents Marc S. Atkin and Paul R. Cohen
- In Working Notes, AAAI-93 Workshop on AI in Intelligent Vehicle Highway Systems. Steering Traffic Networks
- Models of Defeat Gary King Brent Heeringa David Westbrook Joe Catalano and Paul Cohen
- Word Segmentation as General Chunking Daniel Hewlett and Paul Cohen
- An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes
- Intelligent Visualization in a Planning Simulation Robert St. Amant, Christopher G. Healey, Mark Riedl,
- Machine Learning, , 131 (2001) c 2001 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Envelopes as a Vehicle for Improving the E ciency of Plan Execution
- Finding Structure in Streams Paul R. Cohen and Tim Oates
- The Hats Simulator is a lightweight proxy for many intelligence analysis problems, and thus a
- Symbol Grounding With Delay Coordinates Michael T. Rosenstein and Paul R. Cohen
- A Knowledge Acquisition Tool for Course of Action Analysis* Ken Barker1
- In Preliminary Papers of the Fifth International Workshop on Arti cial Intelligence and Statistics, 1995, pp. 129-139.
- Regression Can Build Predictive Causal Models
- Learning Effects of Robot Actions using Temporal Associations Paul R. Cohen, Charles Sutton, and Brendan Burns
- What are contentful mental states? Dretske's theory of mental content viewed in the light of
- knowledge discovery jensen@cs.umass.edu
- Intelligent Assistance for Computational Scientists: Integrated modelling, experimentation, and analysis
- The Colab Mixed-Initiative Analysis Enviroment Clayton T. Morrison and Paul R. Cohen
- Asymmetric Threat Assessment Tool (ATAT) Gary W. King, Matthew Schmill, Andrew Hannon. Paul Cohen
- Discovering Threads in Research Papers: Relational Similarity and the PUBTREE Algorithm
- Learning and Transferring Action Schemas Paul Cohen, Yu-Han Chang, Clayton Morrison
- Learned Models for Continuous Planning Matthew D. Schmill, Tim Oates, and Paul R. Cohen
- Tools for Detecting Dependencies in AI Systems Matthew D. Schmill, Tim Oates and Paul R. Cohen
- Grounding the Unobservable in the Observable: The Role and Representation of Hidden State
- Maps for Verbs: The Relation Between Interaction Dynamics and Verb Use Paul R. Cohen and Clayton T. Morrison
- On-line Planning Simulation Scott D. Anderson
- Preliminary Evidence That Conceptual Structure Can Be Learned by Interacting with an Environment
- Searching for Planning Operators with Context-Dependent and Probabilistic E ects
- Discovering Rules for Clustering and Predicting Asynchronous Events
- Parallel and Distributed Search for Structure in Multivariate Time Series
- Monitoring Progress with Dynamic Programming Envelopes
- Clustering Time Series with Hidden Markov Models and Dynamic Time Warping
- Contentful Mental States for Robot Baby Paul R. Cohen
- To appear in Proceedings, IDA-95 Symposium of the International Conference on Systems Research, Informatics and Cybernetics.
- Common Lisp Instrumentation Package: User Manual
- Capture the Flag: Military Simulation Meets Computer Games Marc S. Atkin, David L. Westbrook and Paul R. Cohen
- Automating Path Analysis for Building Causal Models from Data*
- Influence Propagation in Modular Networks Aram Galstyan and Paul R. Cohen
- Two Algorithms for Inducing Causal Models Dawn E. Gregory and Paul R. Cohen
- 1 Introduction bonferroni pruning
- A Distributed Problem Solving Approach to Cooperative Information Gathering
- Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail
- Guided Incremental Construction of Belief Charles Sutton, Brendan Burns, Clayton Morrison, and Paul R. Cohen
- Activity Spreading in Modular Networks (Extended Abstract) Aram Galstyan and Paul R. Cohen
- Actions errors,messages control,context
- Maps for Verbs1 Department of Computer Science
- The Duration of Deliberation Scott D. Anderson
- Temporal Abstraction in Bayesian Networks Brendan Burns and Clayton T. Morrison
- Applicability of Reinforcement Learning Paul E. Utgo and Paul R. Cohen
- Plan Steering and Mixed-Initiative Planning Robert St. Amant
- Large Datasets Lead to Overly Complex Models: an Explanation and a Solution
- Detecting and Tracking Hostile Plans in the Hats World Aram Galstyan and Sinjini Mitra and Paul Cohen
- On The Development of Visual Object Memory: The Stay/Go Decision Problem
- Segregating Planners and Their Environments Scott D. Anderson
- A BOOTSTRAP TEST FOR COMPARING PERFORMANCE OF PROGRAMS WHEN DATA ARE CENSORED,
- Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment
- Artificial General Segmentation Daniel Hewlett and Paul Cohen
- Cooperative Information Gathering: A Distributed Problem Solving Approach
- Comparing Diffusion Models for GraphBased SemiSupervised Aram Galstyan galstyan@isi.edu
