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positive examples and few of the negative examples We require that this iaarput rule have high accuracy, but not necessarily high coverage By high accuracy, we mean the predictions it makes should be correct By accepting low coverage, we mean it need not make predictions for every training example Given this LEARN-ONE-RULE subroutine for learning a single rule, one obvious approach to learning a set of rules is to invoke LEARN-ONE-RULE the on all available training examples, remove any positive examples covered by the rule it learns, then invoke it again to learn a second rule based on the remaining training examples This procedure can be iterated as many times as desired to learn a disjunctive set of rules that together cover any desired fraction of the positive examples This is called a sequential covering algorithm because it sequentially learns a set of rules that together cover the full set of positive examples The final set of rules can then be sorted so that more accurate rules will be considered first when a new instance must be classified A prototypical sequential covering algorithm is described in Table 101 This sequential covering algorithm is one of the most widespread approaches to learning disjunctive sets of rules It reduces the problem of learning a disjunctive set of rules to a sequence of simpler problems, each requiring that a single conjunctive rule be learned Because it performs a greedy search, formulating a sequence of rules without backtracking, it is not guaranteed to find the smallest or best set of rules that cover the training examples How shall we design LEARN-ONE-RULE to meet the needs of the sequential covering algorithm We require an algorithm that can formulate a single rule with high accuracy, but that need not cover all of the positive examples In this section we present a variety of algorithms and describe the main variations that have been explored in the research literature In this section we consider learning only propositional rules In later sections, we extend these algorithms to learn first-order Horn clauses. c# extract table from pdf c# - Create Pdf Documents using IText# - Stack Overflow
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