David B. Skalak

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CABARET: Rule Interpretation in a Hybrid Architecture

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1991, Int. J. Man Mach. Stud..

Case Retrieval through Multiple Indexing and Heuristic Search

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1993, IJCAI.

Arguments and cases: An inevitable intertwining

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1992, Artificial Intelligence and Law.

Prototype Selection for Composite Nearest Neighbor Classifiers

David B. Skalak, D. B. Skalak, 1995 .

Combining Case-Based and Rule-Based Reasoning: A Heuristic Approach

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1989, IJCAI.

Case-Based Diagnostic Analysis in a Blackboard Architecture

Edwina L. Rissland, Jody J. Daniels, David B. Skalak, 1993, AAAI.

Evaluating a Legal Argument Program: The BankXX Experiments

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1995, Artificial Intelligence and Law.

BankXX: a program to generate argument through case-base research

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1993, ICAIL '93.

Diagnostic Case Retrieval Guided by Evaluation and Feedback

Edwina L. Rissland, Jody J. Daniels, David B. Skalak, 1993 .

Inductive Learning in a Mixed Paradigm Setting

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1990, AAAI.

Instance Sampling for Boosted and Standalone Nearest Neighbor Classifiers

David B. Skalak, D. B. Skalak, 2001 .

Book review

David B. Skalak, D. B. Skalak, 2004, Artificial Intelligence and Law.

Supporting Legal Arguments through Heuristic Retrieval

Edwina L. Rissland, David B. Skalak, M. T Friedman, 1994 .

BankXX: Supporting legal arguments through heuristic retrieval

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1996, Artificial Intelligence and Law.

Taking advantage of models for legal classification

David B. Skalak, D. B. Skalak, 1989, ICAIL '89.

Interpreting statutory predicates

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1989, ICAIL '89.

Argument moves in a rule-guided domain

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1991, ICAIL '91.

Speed-up Mining or "Why is Data Mining Iterative?"

David B. Skalak, 2001, DMKD.

Using a Genetic Algorithm to Learn Prototypes for Case Retrieval and Classification

David B. Skalak, D. B. Skalak, 1993 .

Heuristic Harvesting of Information for Case-Based Argument

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 1994, AAAI.

Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms

David B. Skalak, D. B. Skalak, 1994, ICML.

The Sources of Increased Accuracy for Two Proposed Boosting Algorithms

David B. Skalak, D. B. Skalak, 1996, AAAI 1996.

Classifier Loss Under Metric Uncertainty

Rich Caruana, David B. Skalak, D. B. Skalak, 2007, ECML.

Using Heuristic Search to Retrieve Cases that Support Arguments

Edwina L. Rissland, David B. Skalak, D. B. Skalak, 2002 .