AAAAAA
Results:
1-10
|
Results: 10
Authors:
Bay, SD
Pazzani, MJ
Citation: Sd. Bay et Mj. Pazzani, Detecting group differences: Mining contrast sets, DATA M K D, 5(3), 2001, pp. 213-246
Authors:
Webb, GI
Pazzani, MJ
Billsus, D
Citation: Gi. Webb et al., Machine learning for user modeling, USER MOD US, 11(1-2), 2001, pp. 19-29
Authors:
Pazzani, MJ
Citation: Mj. Pazzani, Knowledge discovery from data?, IEEE INTELL, 15(2), 2000, pp. 10-13
Authors:
Billsus, D
Pazzani, MJ
Citation: D. Billsus et Mj. Pazzani, User modeling for adaptive news access, USER MOD US, 10(2-3), 2000, pp. 147-180
Authors:
Pazzani, MJ
Citation: Mj. Pazzani, Learning with globally predictive tests, NEW GEN COM, 18(1), 2000, pp. 29-38
Authors:
Lathrop, RH
Pazzani, MJ
Citation: Rh. Lathrop et Mj. Pazzani, Combinatorial optimization in rapidly mutating drug-resistant viruses, J COMB OPTI, 3(2-3), 1999, pp. 301-320
Authors:
Mani, S
Shankle, WR
Dick, MB
Pazzani, MJ
Citation: S. Mani et al., Two-stage machine learning model for guideline development, ARTIF INT M, 16(1), 1999, pp. 51-71
Authors:
Merz, CJ
Pazzani, MJ
Citation: Cj. Merz et Mj. Pazzani, A principal components approach to combining regression estimates, MACH LEARN, 36(1-2), 1999, pp. 9-32
Authors:
Lathrop, RH
Steffen, NR
Raphael, MP
Deeds-Rubin, S
Pazzani, MJ
Cimoch, PJ
See, DM
Tilles, JG
Citation: Rh. Lathrop et al., Knowledge-based avoidance of drug-resistant HIV mutants, AI MAG, 20(1), 1999, pp. 13-25
Authors:
Pazzani, MJ
Citation: Mj. Pazzani, A framework for collaborative, content-based and demographic filtering, ARTIF INT R, 13(5-6), 1999, pp. 393-408
Risultati:
1-10
|