Ben-Bassat, M. (1982), Use of distance measures, information measures and error bounds in feature evaluation, in P. R. Krishnaiah & L. N. Kanal, eds, Handbook of Statistics, Vol. 2, North-Holland Publishing Company, pp. 773--791.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....strategy (Kaelbling 1993) However, in all cases 33 the worst case bound remains the same and the optimal tradeoff between exploration and exploitation was empirically determined to be domain dependent. 8 Related Work The pattern recognition literature (Devijver Kittler 1982, Kittler 1986, Ben Bassat 1982), statistics literature (Draper Smith 1981, Miller 1984, Miller 1990, Neter et al. 1990) and recent machine learning papers (Almuallim Dietterich 1991, Almuallim Dietterich 1994, Kira Rendell 1992a, Kira Rendell 1992b, Kononenko 1994) consist of many such measures for feature subset ....

Ben-Bassat, M. (1982), Use of distance measures, information measures and error bounds in feature evaluation, in P. R. Krishnaiah & L. N. Kanal, eds, Handbook of Statistics, Vol. 2, North-Holland Publishing Company, pp. 773--791.

....70 80 90 100 C4.5 acc Figure 4.25: Accuracies of the 33 datasets. C4.5 AP on x axis and original C4.5 on y axis. Points below the 45 degree line indicate that C4.5 AP is outperforming C4.5. 4. 10.1 Feature Subset Selection The pattern recognition literature (Devijver Kittler 1982, Kittler 1986, Ben Bassat 1982), statistics literature (Draper Smith 1981, Miller 1984, Miller 1990, Neter et al. 1990) and recent machine learning papers (Almuallim Dietterich 1991, Almuallim Dietterich 1994, Kira Rendell 1992a, Kira Rendell 1992b, Kononenko 1994) consist of many such measures for feature subset ....

Ben-Bassat, M. (1982), Use of distance measures, information measures and error bounds in feature evaluation, in P. R. Krishnaiah & L. N. Kanal, eds, "Handbook of Statistics", Vol. 2, North-Holland Publishing Company, pp. 773--791.

....time for a state can be reduced based on statistical estimates. Future work on the abstract problem presented above might improve the applicability of the wrapper method to even larger state spaces. 8 Related Work The pattern recognition literature (Devijver Kittler 1982, Kittler 1986, Ben Bassat 1982), statistics literature (Draper Smith 1981, Miller 1984, Miller 1990, Neter et al. 1990) and recent machine learning papers (Almuallim Dietterich 1991, Almuallim Dietterich 1994, Kira Rendell 1992a, Kira Rendell 1992b, Kononenko 1994) consist of many measures for feature subset ....

Ben-Bassat, M. (1982), Use of distance measures, information measures and error bounds in feature evaluation, in P. R. Krishnaiah & L. N. Kanal, eds, Handbook of Statistics, Vol. 2, North-Holland Publishing Company, pp. 773--791.

....redundant features. Thus the best feature subset is not always the minimal one. 5 RELATED WORK Researchers in statistics (Boyce, Farhi, Weischedel 1974; Narendra Fukunaga 1977; Draper Smith 1981; Miller 1990; Neter, Wasserman, Kutner 1990) and pattern recognition (Devijver Kittler 1982; Ben Bassat 1982) have investigated the feature subset selection problem for decades, but most work has concentrated on subset selection using linear regression. Sequential backward elimination, sometimes called sequential backward selection, was introduced in Marill Green (1963) Kittler generalized the ....

Ben-Bassat, M. 1982. Use of distance measures, information measures and error bounds in feature evaluation. In Krishnaiah, P. R., and Kanal, L. N., eds., Handbook of Statistics, volume 2. North-Holland Publishing Company. 773--791.

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