Jeffrey C. Schlimmer

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Paradigms for machine learning

Jeffrey C. Schlimmer, Pat Langley, J. C. Schlimmer, 1991 .

Web Services Policy Framework (WS- Policy)

Daniel Roth, John P. Shewchuk, Jeffrey C. Schlimmer, 2002 .

Two Case Studies in Cost-Sensitive Concept Acquisition

Ming Tan, Jeffrey C. Schlimmer, J. C. Schlimmer, 1990, AAAI.

Justification-Based Refinement of Expert Knowledge

Tom M. Mitchell, John P. McDermott, Jeffrey C. Schlimmer, 1991, Knowledge Discovery in Databases.

A Case Study of Incremental Concept Induction

Douglas H. Fisher, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986, AAAI.

Learning Meta Knowledge for Database Checking

Jeffrey C. Schlimmer, J. C. Schlimmer, 1991, AAAI.

Incremental Adjustment of Representations for Learning

Jeffrey C. Schlimmer, 1987 .

Refining Representations to Improve Problem Solving Quality

Jeffrey C. Schlimmer, 1989, ML.

Cost-Sensitive Concept Learning of Sensor Use in Approach ad Recognition

Ming Tan, Jeffrey C. Schlimmer, J. C. Schlimmer, 1989, ML.

A cost-sensitive machine learning method for the approach and recognize task

Ming Tan, Jeffrey C. Schlimmer, J. C. Schlimmer, 1991, Robotics Auton. Syst..

Decompiling Problem-Solving Experience to Elucidate Representational Distinctions

Jeffrey C. Schlimmer, J. C. Schlimmer, 1990 .

Efficiently Inducing Determinations: A Complete and Systematic Search Algorithm that Uses Optimal Pruning

Jeffrey C. Schlimmer, J. C. Schlimmer, 1993, ICML.

Self-modeling databases

Jeffrey C. Schlimmer, J. C. Schlimmer, 1993, IEEE Expert.

A Machine-Learning Appmntice hr fie Completion of Repetitive Forms

Jeffrey C. Schlimmer, J. C. Schlimmer, Leonard A. Hermens, 1994 .

Using learned dependencies to automatically construct sufficient and sensible editing views

Jeffrey C. Schlimmer, 1993 .

Incremental Learning from Noisy Data

Richard Granger, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986, Machine Learning.

Quantitative Results Comparing Three Intelligent Interfaces for Information Capture: A Case Study Adding Name Information into an Electronic Personal Organizer

Jeffrey C. Schlimmer, J. C. Schlimmer, Patricia Crane Wells, 1996, J. Artif. Intell. Res..

Beyond Incremental Processing: Tracking Concept Drift

Richard Granger, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986, AAAI.

Concept Simplification and Prediction Accuracy

Douglas H. Fisher, Jeffrey C. Schlimmer, J. C. Schlimmer, 1988, ML.

Combining numeric and symbolic learning techniques

Richard Granger, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986 .

Applying machine learning to electronic form filling

Jeffrey C. Schlimmer, Leonard A. Hermens, 1993, Defense, Security, and Sensing.

A machine-learning apprentice for the completion of repetitive forms

L. A. Hermens, Jeffrey C. Schlimmer, J. C. Schlimmer, 1994, IEEE Expert.

Learning and Representation Change

Jeffrey C. Schlimmer, 1987, AAAI.

In Architectures for Intelligence

Tom M. Mitchell, Jonathan P. Allen, Jerry Cheng, 1989 .

Database Consistency via Inductive Learning

Jeffrey C. Schlimmer, 1991, ML.

Software Agents: Completing Patterns and Constructing User Interfaces

Jeffrey C. Schlimmer, Leonard A. Hermens, 1993, J. Artif. Intell. Res..

The computation of contingency in classical conditioning

Richard Granger, Jeffrey C. Schlimmer, J. C. Schlimmer, 1986 .

A note on correlational measures

Jeffrey C. Schlimmer, J. C. Schlimmer, 1986 .