Results 1 - 10 of 178

Table 1 Comparison of five methods. Method Error rate von Heijne 1992 2.8%

in Automated discovery of detectors and iteration-performing calculations to recognize patterns in protein sequences using genetic programming
by John R. Koza 1994
"... In PAGE 6: ... 6. Conclusions Table1 shows the out-of-sample error rate for the four algorithms for recognizing transmembrane domains reviewed in Weiss et al. (1993) as well as the out-of- sample error rate of our best-of-all genetically-evolved program above.... ..."
Cited by 3

Table 1 Comparison of eight methods. Method Error

in Evolution of Iteration in Genetic Programming
by unknown authors
"... In PAGE 9: ... 5. Comparison of Eight Methods Table1 shows the out-of-sample error rate for eight different approaches to the transmembrane segment identification problem, including (1) the three human-written algorithms of von Heijne (1992), Engelman, Steitz, and Goldman (1986), and Kyte and Doolittle (1982) for classifying transmembrane domains, as described in Weiss, Cohen, and Indurkhya 1993, (2) the result of Weiss, Cohen, and Indurkhya (1993) using a machine learning technique along with a considerable amount of human ingenuity, (3) the set-creating version using genetic programming with prespecification by the user of the architecture ... ..."

Table 1 Comparison of eight methods. Method Error

in Evolution of Iteration in Genetic Programming
by John R. Koza, David Andre 1996
"... In PAGE 9: ... 5. Comparison of Eight Methods Table1 shows the out-of-sample error rate for eight different approaches to the transmembrane segment identification problem, including (1) the three human-written algorithms of von Heijne (1992), Engelman, Steitz, and Goldman (1986), and Kyte and Doolittle (1982) for classifying transmembrane domains, as described in Weiss, Cohen, and Indurkhya 1993, (2) the result of Weiss, Cohen, and Indurkhya (1993) using a machine learning technique along with a considerable amount of human ingenuity, (3) the set-creating version using genetic programming with prespecification by the user of the architecture consisting of three zero-argument automatically defined functions and one iteration-performing branch (ch. 18.... ..."
Cited by 12

Table 1: The von Neumann-Halperin Algorithm

in Scalable algorithms for aggregating disparate forecasts of probability
by J. B. Predd, S. R. Kulkarni, H. V. Poor 2006
Cited by 2

Table 1: Beobachtete Typen von Aussprachevarianten

in Regelbasiert generierte Aussprachevarianten für Spontansprache
by Thomas Kemp

Table 4: FEA Von Mises Results

in unknown title
by unknown authors

Table 6. The parameters in JohnnyVon and the values that were used in the experiments.

in Self-Replicating Machines in Continuous Space with Virtual Physics
by Arnold Smith, Peter Turney, Peter Turney (corresponding, Robert Ewaschuk 2003
"... In PAGE 31: ...NRC-44969 31 Appendix To facilitate the replication of our experimental results, Table6 shows the internal parameters of JohnnyVon and the values that were used in the experiments. The source code is available, as discussed in Section 3.... In PAGE 31: ...8. Insert Table6 here. ... In PAGE 32: ... Transition rules for splitting_state. Table6 . The parameters in JohnnyVon and the values that were used in the experiments.... ..."
Cited by 4

Table 6. The parameters in JohnnyVon and the values that were used in the experiments.

in Self-Replicating Machines in Continuous Space with Virtual Physics
by Council Canada, Arnold Smith, Peter Turney (corresponding, Robert Ewaschuk 2003
"... In PAGE 32: ...NRC-44969 31 Appendix To facilitate the replication of our experimental results, Table6 shows the internal parameters of JohnnyVon and the values that were used in the experiments. The source code is available, as discussed in Section 3.... In PAGE 32: ...8. Insert Table6 here. ... In PAGE 33: ... Transition rules for splitting_state. Table6 . The parameters in JohnnyVon and the values that were used in the experiments.... ..."

Table 62 code_due_von columns. Name Data type

in unknown title
by unknown authors 2007

Table 2. Baseline laboratory values by subtype of von Willebrand disease

in unknown title
by unknown authors 2008
"... In PAGE 4: ... Eighteen patients were younger than 18. Baseline bleeding times and plasma levels of VWF:RCof, FVIII:C, and VWF:Ag for each VWD subtype are summarized in Table2 . Patients with type 3 disease had lower FVIII:C levels than did patients with other types, and VWF:RCof and VWF:Ag levels were below the limits of detection.... ..."
Results 1 - 10 of 178