rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix

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rdlc data matrix,

rdlc data matrix,
rdlc data matrix,
rdlc data matrix,

rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
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The Editor view offers quick access to any editable files in your project This means that when you select a file in the Groups and Files list, or in the Detail view, its contents will be shown in the Editor view Xcode offers you two overall ways to edit your code: within the main Project Workspace window or in a separate window To see your code in a separate window, just doubleclick the filename in the Detail view Whether you choose single or separate window editing, what you see here and how you edit it depends on the format of the file you have selected To see how this works, choose the Project Structure top-level folder in the Groups and Files list (its name will be the same as the name of your project in this case, My First Project ).

k-fold cross-validation, 112, 147, 150 k-means problem, 19 1-193 derivation of EM algorithm for, 195-196 k-NEAREST NEIGHBOR algorithm, 23 1-233, 246 applications of, 234 cross-validation in, 235 decision tree and rule learning, comparison with, 235 distance-weighted, 233-234 inductive bias of, 234 memory indexing in, 236 k-term CNF expressions, 2 13-214 k-term DNF expressions, 213-214 K2 algorithm, 190-191 KBANN algorithm, 340-347, 362, 387 advantages of, 344 BACKPROPAGATION algorithm, comparison with, 344-345 BACKPROPAGATION update rule weight in, 343-344 hypothesis space search by BACKPROPAGATION and TANGENTPROP, comparison with, 350-35 1 limitations of, 345 prior knowledge in, 339 kd-tree, 236 Kernel function, 236, 238, 246 Kernel function, Gaussian See Gaussian kernel function Knowledge-Based Artificial Neural Network (KBANN) algorithm See KBANN algorithm Knowledge compilation, 320 Knowledge level learning, 323-325 Knowledge reformulation, 320

Jacobian, 354 Job-shop scheduling, genetic algorithms in,

The contents of this folder will show in the Detail view If you select the first few items in the Detail view (various framework files), you won t see any change in the Editor view because these files are not editable In fact, the only editable files in this list are My_First_ProjectAppDelegateh, My_First_ProjectAppDelegatem, Infoplist, InfoPlistStrings (English), Simple application_Prefixpch, and mainm Selecting Infoplist will show you a tabulated view of the plist file for this project This is essentially the same view you would see if you opened the file in the Property List Editor, but the Editor view is a convenient way to get access to such files.

Lamarckian evolution, 266 Language bias See Restriction bias Lazy explanation methods, 328 Lazy learning methods, comparison with eager learning, 244-245

LEARN-ONE-RULE algorithm: FOIL algorithm, comparison with, 287 ID3 algorithm, search comparison with, 277 rule performance in, 282 rule post-pruning in, 28 1 variations of, 279-280,286 Learning: human See Human learning machine See Machine learning Learning algorithms consistent learners, 162-163 design of, 9-11, 17 domain-independent, 336 error differences between two, 145-15 1 search of hypothesis space, 24 Learning problems, 2-5, 17 computational theory of, 201-202 in inductive-analytical learning, 337-338 Learning rate, 88, 91 Learning systems: design of, 5-14, 17 program modules, 11-1' : Least mean squares algori ,m See LMS algorithm Least-squared error hypothesis: classifiers for, 198 gradient descent in, 167 maximum likelihood (ML) hypothesis and, 164-167 Leave-one-out cross-validation, 235 Legal case reasoning, case-based reasoning in, 240 LEMMA-ENUMERATOR algorithm, 324 Lifelong learning, 370 Line search, 119 Linear programming, as weight update algorithm, 95 Linearly separable sets, 86, 89, 95 LIST-THEN-ELLMINATE algorithm, 30 Literal, 284, 285 LMS algorithm, 11, 15 inductive bias of, 64 LMS weight update rule See Delta rule Local method, 234 Locally weighted regression, 23 1, 236-238, 246 limitations of, 238 weight update rules in, 237-238

You ll learn much more about plist files and the Property List Editor in 14, but fundamentally they are configuration files holding key-value pairs and stored in a binary format (exactly why Apple made this change escapes me; until recently plist files were simple textbased XML files) The tabular display allows you to modify existing rows, usually by selecting from dropdown lists, or to add new ones Below the plist file entry you will see InfoPlistStrings (English) On choosing this, the Editor view shows a text file (empty for now apart from a comment) This file is used to hold localized versions of string properties if you are creating applications for use in different languages The most interesting files though are My_First_ProjectAppDelegateh, My_First_ProjectAppDelegatem, and mainm Click on one of these and, at long last, you can see some code!.

Montr al (Qu bec)

Logical constants, 284, 285 Logical terms, 284, 285 Logistic function, 96, 104 Lookup table: function approximation algorithms as substitute, 384 neural network as substitute, 384 Lower bound on sample complexity, 217-218