Name
Abstract | ||
|---|---|---|
Reports on an investigation of the use of support vector machines in the problem of beating bookmakers' odds. The method used is to create nine regression lines, one for each of the possible half-time/full-time possibilities, e.g. a draw at half time with the home team winning at full time. We extend the support vector machine by incorporating variable-width permissible error bounds based on our knowledge of the sample size on which each of the data points is based. We show that the variable-width method improves the regression |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/KES.2000.885789 | Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference |
Keywords | Field | DocType |
errors,forecasting theory,learning automata,probability,sport,bookmakers' odds,data points,half-time/full-time possibilities,probability prediction,regression lines,sample size,support vector machines,variable-width permissible error bounds | Data point,Learning automata,Regression,Intelligent decision support system,Computer science,Support vector machine,Artificial intelligence,Odds,Machine learning,Sample size determination,Linear regression | Conference |
Volume | ISBN | Citations |
1 | 0-7803-6400-7 | 2 |
PageRank | References | Authors |
0.44 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Duncan Mckay | 1 | 2 | 0.44 |
| Colin Fyfe | 2 | 508 | 55.62 |