-
3
-
-
0021612597
-
Refractive index variations across glass objects and the influence of annealing
-
Locke J, Hayes CA. Refractive index variations across glass objects and the influence of annealing. Forensic Sci. Int. 1984; 26: 147-157.
-
(1984)
Forensic Sci. Int
, vol.26
, pp. 147-157
-
-
Locke, J.1
Hayes, C.A.2
-
4
-
-
0035716417
-
Examination of the refractive index of selected samples of glass for forensic purposes
-
Zadora G. Examination of the refractive index of selected samples of glass for forensic purposes. Prob. Forensic Sci. 2001; XLV: 36-45.
-
(2001)
Prob. Forensic Sci
, vol.45
, pp. 36-45
-
-
Zadora, G.1
-
5
-
-
0242678375
-
The Classification and discrimination of glass fragments using non destructive energy dispersive X-ray μfluorescence
-
Hicks T, Monard Sermier F, Goldmann T, Brunelle A, Champod C, Margot P. The Classification and discrimination of glass fragments using non destructive energy dispersive X-ray μfluorescence. Forensic Sci. Int. 2003; 137: 107-118.
-
(2003)
Forensic Sci. Int
, vol.137
, pp. 107-118
-
-
Hicks, T.1
Monard Sermier, F.2
Goldmann, T.3
Brunelle, A.4
Champod, C.5
Margot, P.6
-
6
-
-
23344445822
-
Sampling strategies for the analysis of glass fragments by LA-ICP-MS Part 1: Micro-homogeneity study of glass and its application to the interpretation of forensic evidence
-
Trejos T, Almirall JR. Sampling strategies for the analysis of glass fragments by LA-ICP-MS Part 1: micro-homogeneity study of glass and its application to the interpretation of forensic evidence. Talanta 2005; 67: 388-395.
-
(2005)
Talanta
, vol.67
, pp. 388-395
-
-
Trejos, T.1
Almirall, J.R.2
-
7
-
-
0038711786
-
SEM-EDX - a useful tool for forensic examinations
-
Zadora G, Brożek-Mucha Z. SEM-EDX - a useful tool for forensic examinations. Material Chem. Phys. 2003; 81: 345-348.
-
(2003)
Material Chem. Phys
, vol.81
, pp. 345-348
-
-
Zadora, G.1
Brożek-Mucha, Z.2
-
8
-
-
0032896727
-
The forensic significance of glass composition and refractive index measurements
-
Koons RD, Buscaglia JA. The forensic significance of glass composition and refractive index measurements. J. Forensic Sci. 1999; 44(3): 496-503.
-
(1999)
J. Forensic Sci
, vol.44
, Issue.3
, pp. 496-503
-
-
Koons, R.D.1
Buscaglia, J.A.2
-
10
-
-
0004266739
-
-
The Johns Hopkins University Press: Baltimore and London, UK
-
Royal R. Statistical Evidence. The Johns Hopkins University Press: Baltimore and London, UK, 1992.
-
(1992)
Statistical Evidence
-
-
Royal, R.1
-
11
-
-
0022511735
-
Statistical discriminant analysis in forensic sciences
-
Aitken CGG. Statistical discriminant analysis in forensic sciences. J. Forensic Sci. Soc. 1986; 26: 237-247.
-
(1986)
J. Forensic Sci. Soc
, vol.26
, pp. 237-247
-
-
Aitken, C.G.G.1
-
12
-
-
1342324886
-
Evaluation of trace evidence in the form of multivariate data
-
Aitken CGG, Lucy D. Evaluation of trace evidence in the form of multivariate data. Appl. Stat. 2004; 53(Part 1): 109-122.
-
(2004)
Appl. Stat
, vol.53
, Issue.PART 1
, pp. 109-122
-
-
Aitken, C.G.G.1
Lucy, D.2
-
13
-
-
33646103898
-
Evaluation of transfer evidence for three level multi-variate data with the use of Graphical Models
-
Aitken CGG, Lucy D, Zadora G, Curran JM. Evaluation of transfer evidence for three level multi-variate data with the use of Graphical Models. Comput. Stat. Data Anal. 2006; 50: 2571-2588.
-
(2006)
Comput. Stat. Data Anal
, vol.50
, pp. 2571-2588
-
-
Aitken, C.G.G.1
Lucy, D.2
Zadora, G.3
Curran, J.M.4
-
14
-
-
33847101445
-
A two level model for evidence evaluation
-
Aitken CGG, Zadora G, Lucy D. A two level model for evidence evaluation. J. Forensic Sci. 2007; 52(2): 31-40.
-
(2007)
J. Forensic Sci
, vol.52
, Issue.2
, pp. 31-40
-
-
Aitken, C.G.G.1
Zadora, G.2
Lucy, D.3
-
15
-
-
0019488792
-
A classification scheme for glass
-
Hickamn DA. A classification scheme for glass. Forensic Sci. Int. 1981; 17: 265-281.
-
(1981)
Forensic Sci. Int
, vol.17
, pp. 265-281
-
-
Hickamn, D.A.1
-
16
-
-
0023261596
-
Glass types identified by chemical analysis
-
Hickman DA. Glass types identified by chemical analysis. Forensic Sci. Int. 1987; 33: 23-46.
-
(1987)
Forensic Sci. Int
, vol.33
, pp. 23-46
-
-
Hickman, D.A.1
-
17
-
-
0023873794
-
Calssification and discrimination of sheet and container glasses by inductively coupled plasma - atomic emission spectrometry and pattern recognition
-
Koons RD, Fiedler C, Rawalt R. Calssification and discrimination of sheet and container glasses by inductively coupled plasma - atomic emission spectrometry and pattern recognition. J. Forensic Sci. 1988; 33: 49-67.
-
(1988)
J. Forensic Sci
, vol.33
, pp. 49-67
-
-
Koons, R.D.1
Fiedler, C.2
Rawalt, R.3
-
20
-
-
0034419669
-
Regularization networks and support vector machines
-
Evgeniou T, Pontil M, Poggio T. Regularization networks and support vector machines. Adv. Comput. Math. 2000; 13: 1-50.
-
(2000)
Adv. Comput. Math
, vol.13
, pp. 1-50
-
-
Evgeniou, T.1
Pontil, M.2
Poggio, T.3
-
21
-
-
0001219859
-
Regularization theory and neural networks architectures
-
Girosi F, Jones M, Poggio T. Regularization theory and neural networks architectures. Neural Comput. 1995; 7: 219-269.
-
(1995)
Neural Comput
, vol.7
, pp. 219-269
-
-
Girosi, F.1
Jones, M.2
Poggio, T.3
-
22
-
-
0000249788
-
An equivalence between sparse approximation and support vector machines
-
Girosi F. An equivalence between sparse approximation and support vector machines. Neural Comput. 1998; 10: 1455-1480.
-
(1998)
Neural Comput
, vol.10
, pp. 1455-1480
-
-
Girosi, F.1
-
23
-
-
0032098361
-
The connection between regularization operators and support vector kernels
-
Smola A, Scholkopf B, Muller K-R. The connection between regularization operators and support vector kernels. Neural Networks 1998; 11: 637-649.
-
(1998)
Neural Networks
, vol.11
, pp. 637-649
-
-
Smola, A.1
Scholkopf, B.2
Muller, K.-R.3
-
27
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges CJC. A tutorial on support vector machines for pattern recognition. Data Mining Knowledge Discov. 1998; 2: 121-167.
-
(1998)
Data Mining Knowledge Discov
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
28
-
-
0003401675
-
-
Smola A, Scholkopf B. A tutorial on support vector regression. NeuroCOLT Technical Report NC-RR-98-030, Royal Holloway College, University of London, UK, 1998.
-
(1998)
A tutorial on support vector regression. NeuroCOLT Technical Report NC-RR-98-030, Royal Holloway College, University of London, UK
-
-
Smola, A.1
Scholkopf, B.2
-
29
-
-
0031269184
-
Beyond independence: Conditions for the optomality of the simple bayesian classifiers
-
Domingos P, Pazzani M. Beyond independence: conditions for the optomality of the simple bayesian classifiers. Machine Learning 1997; 29: 103-130.
-
(1997)
Machine Learning
, vol.29
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
31
-
-
85159506407
-
-
Friedman N, Geoger D. Goldszmidt M. Bayesian network classifiers. Machine Learning 1997; 29: 131-163.
-
Friedman N, Geoger D. Goldszmidt M. Bayesian network classifiers. Machine Learning 1997; 29: 131-163.
-
-
-
-
32
-
-
0035528674
-
Idiot's Bayes - Not so stupid after all?
-
Hand DJ, Yu K. Idiot's Bayes - Not so stupid after all? Int. Stat. Rev. 2001; 69: (3): 385-398.
-
(2001)
Int. Stat. Rev
, vol.69
, Issue.3
, pp. 385-398
-
-
Hand, D.J.1
Yu, K.2
-
33
-
-
85159504200
-
-
The R Foundation for Statistical Computing Version 2.0.1
-
The R Foundation for Statistical Computing Version 2.0.1, www.r-project.org
-
-
-
|