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| Авторизация |
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| Michie D., Spiegelhalter D.J., Taylor C.C. — Machine learning, neural and statistical classification |
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| Предметный указатель |
 12 67 123 218 263
 174
Accuracy 7 8
ACE 46
Algorithms, function approximation 230
Algorithms, instance-based 230
Algorithms, symbolic learning 230
ALLOC80 33 214 227 263
Alternating Conditional Expectation 46
Analysis of results 176
AOCDL 56
AQ 56 57 74 77
AQ11 50 54
Architectures 86
Assistant 65
Attribute coding 124
Attribute entropy 174
Attribute noise 174
Attribute reduction 120
attribute types 214
Attribute vector 17
Attributes 1
Australian credit dataset 134
B ayes-tree 41
Background knowledge 11 241
Backprop 12 110
Bayes minimum cost rule 13
Bayes rule 40
Bayes theorem 15
Bayes Tree 263
Bayesian evidence 100
Bayesian methods 29
Bayesian networks 41
Bayesian regularisation, Cascade correlation 98
Behavioural cloning 261
Belgian Power 1 dataset 121 163
Belgian Power 11 dataset 164
Bias 120 122
BIFROST 43
Binary attributes 25
binomial 26
Bootstrap 107—109
Boxes 234 250
C4.5 12 63—65 79 80 209 219 264
CAL5 71 72 263
Canonical correlation 114 173
Canonical discriminants 114
Canonical variates 20 114
CART 12 63 64 68 123 126 132 218 219 225 264
Cascade 110
Cascade correlation 12 97 98 263
Castle 45 217 226 263
categorical variables 17
Causal network 41
Causal networks 41
CHAID 62
Chernobyl 7
Chi-square test of independence 119
Choice of variables 11
Chromosome dataset 142
class 8
Class definitions 7
Class entropy 173
Class probability tree 73
Class probability trees 61
Classes 1
Classical discrimination techniques 17
Classification 1 8
Classification rule 6
Classification: definition 6
CLS 52
Clustering 1 6
CN2 12 56 57 73—75 77 79 218 220
Code vector 101
Coding of categories 122
Combination of attributes 121
Combinations of variables 11
Comparative trials 110
COMPLEX 56
Comprehensibility 7 214
Concept 228
Concept learning 51
Concept Learning System 52
Concept-recognisers 62
Condensed nearest neighbour 35
Conditional dependency 53
Conjugate gradient 91
Constructive algorithms 88
Constructive algorithms, pruning 96
Container cranes 258
Controller design 246
Correlation 113
Correspondence analysis 185
Corr_abs 173
Cost datasets 176 183
Cost matrices 214 224
Cost matrix 221
costs 225
Covariance 113
Covariance matrix 19 21
Cover 56
Covering algorithm 237
Credit datasets 7 8 122 132—135 176
Credit management dataset 122 132
Credit scoring 132
Cross validation 107—109
Cross-entropy 89
Cut20 dataset 121 146 181
Cut50 dataset 121 146 181
DAG (directed acyclic graph) 41
Data soybean 50—52
Dataset, Australian credit 134
Dataset, Belgian Power I 163
Dataset, Belgian Power II 164 174
Dataset, characterisation 112
Dataset, chromosomes 142
Dataset, collection 124
Dataset, credit management 132
Dataset, cut 146 181
Dataset, diabetes 157
Dataset, DNA 158
Dataset, German credit dataset 153
Dataset, hand-written digits 135
Dataset, head injury 149
Dataset, heart disease 152
Dataset, image segmentation 145
Dataset, Karhunen — Loeve Digits 137 193
Dataset, letter recognition 140
Dataset, machine faults 165
Dataset, satellite image 143
Dataset, Shuttle 173
Dataset, shuttle control 154 193
Dataset, Technical 174
Dataset, tsetse fly distribution 167
Dataset, vehicle recognition 138
Decision class 14
Decision problems 1
Decision trees 5 9 56 73 109 121 217 226
default 57 80
Default rule 13
Density estimates 12
Density estimation 30
Diabetes dataset 157
Digits dataset 135 181 223
DIPOL92 12 103 223 225 263
Directed Acyclic Graph (DAG) 41
discrim 17 121 126 173 214 225
Discrimination 6 8
Distance 161
Distribution-free methods 16
| DNA dataset 23 122 124 158 161 222 226
Domain knowledge 255
dominators 186
EA 111
ECG 52 227
Edited nearest neighbour 35
EN.attr 118
entropy 70 76—78
Entropy estimation 117
Entropy of attributes 116
Entropy of classes 117
Epistemologically adequate 80
Equivalent number of attributes 118
Error rate 194
Error rate estimation 107
Evaluation Assistant 110 111
Examples of classifiers 8
Expert Systems 50
Extensions to linear discrimination 12
features 1
Feed-forward networks 96
Feedforward network 88
First order logic 230
Fisher’s linear discriminant 9 17
Fractk 114
Fract_k 170 173
Gaussian distribution 20
General-to-specific 54 56 57
Generalised Delta Rule 86
Generalised linear models (GLM) 26
Genetic 65
Genetic algorithms 2 5 234 252
German credit 153
Gini function 68
Gini index 68
GLIM 26
GOLEM 81
Gradient descent 90
Gradient descent, MLP 92
Gradient descent, second-order 91
Gradient methods 93
H(C) 117 173
H(C,X) 111
H(X) 116
Head injury dataset 23
Headdataset 149 173
Heart dataset 152 173
Heuristically adequate 80
Hidden nodes 109
Hierarchical clustering 189 192
Hierarchical structure 2
Hierarchy 120 123
Human brain 3
Hypothesis language 54 229
ID3 160 218 219
ILP 65 81 82
Image datasets 176 179 182
Image segmentation 112 181
Impure 60
Impure node 57
Impurity 57 58 60
IND Package 40
IndCART 12 219 263
Indicator variables 26
Inductive learning 254
Inductive logic programming 81 82
Inductive logic programming (ILP) 50
Information measures 116 169
Information score 203
Information theory 116
Iris data 9
Irrelevant attributes 119 226
ISoft dataset 123
ITrule 12 56 57 77 78 220 265
J-measure 56 78
Jackknife 32
Joint entropy 117
K nearest neighbour 160
K-means clustering 102
K-Nearest Neighbour 35
K-NN 160 182 216 224 227 265
K-NN, Cross validation 36
K-R-K problem 80-82
Kalman filter 96
KARDIO 52 227
Kernel density (ALLOC80) 12
Kernel density estimation 30 214
Kernel function 31
Kernel, classifier 33
Kernel, window width 33
kernels 32
KL digits dataset 27 121 137 170
Kohonen 160 222 265
Kohonen networks 85 102
Kohonen self-organising net 12
Kullback-Leibler information 112
kurtosis 22 115 170
Layer, hidden 87
Layer, input 86
Layer, output 86
Learning curves 127
Learning graphical representations 43
Learning Vector Quantization (LVQ) 12
Learning vector quantizer 102
Learning vector quantizers 102
Leave-one-out 108
Letters dataset 140 208
Likelihood ratio 27
Lineal-discriminant 11 12 17 104 214
Lineal-discrimination 27
Lineal-independent 121
Lineal-regression 26 104
Lineal-threshold unit (LTU) 233
Lineal-transformation 115
Lineal-trees 56
Linear decision tree 156
Linesearches 91
Link function 26
Lnstatnce-based learning (IBL) 230
Log likelihood 32
Logdisc 24 121 263
Logistic discriminant 17 24
Logistic discrimination 27
Logistic discrimination-programming 25
LVQ 102 126 221 222 264
M statistic 113
M(C,X) 117
Machine faults dataset 165
Machine learning approaches 16
Machine learning approaches to classification 2
MADALINE 223
Manova 20 114 173
Many categories 121
Marginalisation 98
MARS 47
Maximum conditional likelihood 25
Maximum likelihood 20 25 32
McCulloch — Pitts neuron 84
MDL 80
Measure of collinearity 114
Measures 112 209
Measures of normality 114
Measures, Information-based 169
Measures, statistical 169
Medical datasets 217
Memory 223
Mental fit 50—52 56 79 80
Metalevel learning 197
Minimisation methods 90
Minimum cost rule 14
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