The six encoding are briefly described below: 1) chess_flann_new: Written by flann '@' cs.orst.edu. Employs a geometric representation for states, with each square designated by an X,Y coordinate and square connectivity computed by vectors. Generates legal moves by first generating peusdo moves then eliminating those that result in the moving player being in check. 2) chess_flann_wyl: Written by flann '@' cs.orst.edu. Employs a relational representation for states, with each square given a unique name and square connectivity computed by an enumeration of connected relations. Generates legal moves by first generating peusdo moves then eliminating those that result in the moving player being in check. 3) chess_russell_wyl: Originally written by Stuart Russell in MRS, translated into prolog by flann '@' cs.orst.edu. Employs a geometric representation for states, with each square designated by an X,Y coordinate and square connectivity computed by vectors. Generates legal moves by determining whether the moving side is in check. If the moving side is in check, moves are generated that destroy the check threat. If the moving side is not in check, moves are generated that do not create a check threat. Note that if the moving side is in check from multiple threats then the domain theory generates incorrect moves. 4) chess_vijay_1: Written by vijay '@' cs.orst.edu. Employs a relational representation for states, with each square given a unique name and square connectivity computed by an enumeration of connected relations. Generates legal moves by first generating peusdo moves then eliminating those that result in the moving player being in check. 5) chess_vijay_2: Written by vijay '@' cs.orst.edu. Employs a geometric representation for states, with each square designated by an X,Y coordinate and square connectivity computed by vectors. Generates legal moves by first generating peusdo moves then eliminating those that result in the moving player being in check. 6) chess_vijay_3: Written by vijay '@' cs.orst.edu. Employs a special linear representation for states, with each square designated by a single number and square connectivity computed by a single delta value. Generates legal moves by first generating peusdo moves then eliminating those that result in the moving player being in check. Each domain theory includes a sample state called state1 that describes the board position illustrated as Figure 4(d) in Flann and Dietterich, "A study of explanation-based methods for inductive learning" in Machine Learning, 4 187-226. See file test_domain_theories for an example of loading and running the domain theories. In addition to the domain theories, a file called support_code is included that contains some useful prolog routines. One routine takes a generic chess board description and a domain theory name, and produces a prolog state description suitable for use with the given domain theory. See file test_domain_theories for an example of generating state descriptions.
Examples represent positive and negative instances of people who were and were not granted credit. The theory was generated by talking to the individu...
multivariate, domain-theory, classificationThis is a sparse data set, less than 10% of the attributes are used for each sample. The link is to a '*.tgz' file which contains two files: [amzn-anon-...
clustering, causal-discovery, regression, time-series, domain-theoryThe data was retrieved from a set of 53500 CT images from 74 different patients (43 male, 31 female). Each CT slice is described by two histograms in p...
regression, domain-theoryThis is a rule-based model that qualitatively simulates moral reasoning. The model was intended to simulate how an ordinary person, down to about age fi...
domain-theoryThe predicate no_payment_due/1 is true for those people who are not required to repay a student loan. Auxiliary relations can be used to fully discrimi...
domain-theoryThe data set gathered when we were working at project for Bahrain university between 2002 and 2003.
domain-theory, univariate, classification, clusteringThis corpus has been collected from free or free for research sources at the Internet: -> A collection of 425 SMS spam messages was manually extracted ...
text, classification, clustering, multivariate, domain-theoryFor complete information see the official challenge page: [Web Link]
clustering, sequential, causal-discovery, time-series, multivariate, domain-theoryThis dataset has been developed to help evaluate a "hybrid" learning algorithm ("KBANN") that uses examples to inductively refine preexisting knowledge....
domain-theory, classification, sequentialdataset are derived from the customers reviews in Amazon Commerce Website for authorship identification. Most previous studies conducted the identi...
multivariate, domain-theory, text, classification# From Garavan Institute # Documentation: as given by Ross Quinlan # 6 databases from the Garavan Institute in Sydney, Australia # Approximately the fol...
multivariate, domain-theory, classificationThe dataset is the subset of RCV1. These corpus has already been used in author identification experiments. In the top 50 authors (with respect to total...
text, classification, clustering, multivariate, domain-theoryThis dataset includes the recordings of five replicates of an 8-sensor array. Each unit holds 8 MOX sensors and integrates custom-designed electronics f...
classification, regression, time-series, multivariate, domain-theoryUSPTO Algorithm Challenge, run by NASA-Harvard Tournament Lab and TopCoder Problem: Patent Labeling
domain-theory, classificationProblem Description: Splice junctions are points on a DNA sequence at which `superfluous' DNA is removed during the process of protein creation in hig...
domain-theory, classification, sequentialHere is a summary of the domains that can be used currently with Prodigy. Each one is described briefly. For more information in any of them, read the ...
domain-theoryI think you'll find some limited documentation on Mike's database in his papers. His dissertation would be a good reference (UCLA). Perhaps pages 152-...
domain-theory