D. Ackley, G. Hinton, T. Sejnowski, E. Farguell, F. Mazzanti, E. Gómez-ramírez, ...
HOD process. Therefore, there is a tradeoff between memory and computing time. HOD provides a direct solution for the learning algorithm. In comparison, tuning the MC algorithm to provide lower error...
The MONK's Problems APerformance Comparison of Di erent Learning Algorithms (2008)
S. B. Thrun, J. Bala, E. Bloedorn, I. Bratko, B. Cestnik, J. Cheng, ...
Once upon a time, in July 1991, the monks of Corsendonk Priory were faced with a school held in their priory, namely the 2 nd European Summer School on Machine Learning. After listening more than one...
An Automated Conversion of Documents Containing Math into SGML (Extended Abstract) (2007)
Janusz Wnek and Robert Price Science Applications International Corporation 1953 Gallows Road Vienna, VA 22182 Abstract Intelligent document understanding (IDU) systems convert scanned document pages...
E. Bloedorn, I. Imam, K. Kaufman, M. Maloof, R. S. Michalski, J. Wnek, ...
The "East-West Challenge" is the title of the second international competition of machine learning programs, organized in the Fall 1994 by Donald Michie, Stephen Muggleton, David Page and...
R. S. Michalski, R. S. Michalski, J. Wnek, J. Wnek, J. Wnek, R. S. Michaiski
Submitted to the IJCAJ-91 Workahop on
E. Bloedorn, I. Imam, K. Kaufman, M. Maloof, R. S. Michalski, J. Wnek, ...
The “East-West Challenge ” is the title of the second international competition of machine learning programs, organized in the Fall 1994 by Donald Michie, Stephen Muggleton, David Page and Ashwin...
J. Wnek, R. S. Michalski, Janusz Wnek, Janusz Wnek, Ryszard S. Michalski, Ryszard S. Michalski
The paper discusses and experimentally compares five different methods for concept learning from examples. The first three are symbolic methods, specifically, a decision tree learning method (C4.5),...
AN APPLICATION OF CONSTRUCTIVE INDUCTION TO ENGINEERING DESIGN (2007)
J Wnek, J. Wnek, J. Wnek, R. S. Michalski, R. S. Michalski, R. S. Michalski, ...
by
J. Wnek, J. Wnek, J. Wnek, R. S. Michalski, R. S. Michalski, R. S. Michalski
This paper presents a method for constructive induction in which new problem-relevant attributes are generated by analyzing iteratively created inductive hypotheses. The method starts by creating a...
J. Wnek, R. S. Michalski, Janusz Wnek, Ryszard S. Michalski
ABSTRACT--This paper reports on three studies comparing symbolic and subsymbolic methods for concept learning from examples. The first study compared five learning methods, three representing...
Data-driven constructive induction (1998)
E. Bloedorn, E. Bioedorn, J. Wnek, J. Wnek, R. S. Michalski, R. S. Michalski
This paper presents a method for multistrategy constructive induction that integrates two inferential learning strategies---empirical induction and deduction, and two computational methodsdatadriven...
Constructive Induction: the Key to Design Creativity (1995)
T. Arciszewski, R. S. Michalski, J. Wnek, Tomasz Arciszews Ki, Ryszard S. Michalski, Janusz Wnek
Abstract. The paper presents initial results from an emerging new direction in engineering design research, in particular, creative design. It argues that constructive induction, which was originally...
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments (1994)
R. Michalski, J. Wnek, J. Wnek, R. S. Michalski, Janusz Wnek, Ryszard S. Michalski
A method for consreactive induction is described that generates new problem-relevant atu'ibutes by analyzing and abstracting iteratively created inductive concept hypotheses. The method, called...
Comparing Symbolic and Subsymbolic Learning (1994)
J. Wnek, J. Wnek, R. S. Michalski, R. S. Michalski, Janusz Wnek, Ryszard S. Michalski
This paper reports on three studies comparing symbolic and subsymbolic methods for concept learning from examples. The first study compared five learning methods, three representing symbolic learning...
Constructive Induction in Structural Design (1992)
T. Arciszewski, T. Arciszewski, E. Bloedorn, E. Bloedorn, R. S. Michalski, R. S. Michalski, ...
by
The principal axes method for constructive induction (1992)
J. Bala, R. S. Michalski, J. Wnek, Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek
The paper describes a novel method for consreactive induction, called PRAX (Principal Axes). The madeflying idea of the method is to determine descriptions of a class of certain basic concepts, and...
The MONK's Problems A Performance Comparison of Different Learning Algorithms (1991)
S. B. Thrun, J. Bala, E. Bloedorn, I. Bratko, B. Cestnik, J. Cheng, ...
This report summarizes a comparison of different learning techniques which was performed at the 2nd European Summer School on Machine Learning, held in Belgium during summer 1991. A variety of...
J. Wnek, J. Sarma, A. Wahab, R. S. Michalski, Study Single, Concept Learning, ...
Four different learning methods are experimentally compared by applying them to a series of simple, single concept learning problems. The methods compared include a rule-learning program, AQI$, a...
J. Wnek, J. Sarma, A. Wahab, R. S. Michalski, Janusz Wnck, Ashraf A. Wahab, ...
Four different learning methods are experimentally compared by applying them to a series of simple, single concept learning problems. The methods compared include a rule-learning program, AQ15, a...