Large-scale attribute selection using wrappers
... the test data is only used to evaluate the “best” m best subsets of a particular size. To determine the “optimal” subset size, we average the m scores on the test data for each subset size, and choose the size with the highest average. Then, a final forward selection is performed on the complete dat ...
... the test data is only used to evaluate the “best” m best subsets of a particular size. To determine the “optimal” subset size, we average the m scores on the test data for each subset size, and choose the size with the highest average. Then, a final forward selection is performed on the complete dat ...
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Algorithms for Manipulating Algebraic Functions
... closure can often suffer severely from roundoff errors, especially if many calculations are being performed. Many of the algorithms currently in use in algebraic systems require exact arithmetic since they make decisions based on zero tests ...
... closure can often suffer severely from roundoff errors, especially if many calculations are being performed. Many of the algorithms currently in use in algebraic systems require exact arithmetic since they make decisions based on zero tests ...
Combining Linear Programming and Satisfiability Solving for
... a simple yet expressive target language and take advantage of rapidly progressing solution techniques. However, many real-world tasks have a metric aspect. For instance, resource planning, temporal planning, scheduling, and analog circuit verification problems all require reasoning about real-valued ...
... a simple yet expressive target language and take advantage of rapidly progressing solution techniques. However, many real-world tasks have a metric aspect. For instance, resource planning, temporal planning, scheduling, and analog circuit verification problems all require reasoning about real-valued ...
Complex Preferences for Answer Set Optimization
... 1. Lecturers will have preferred courses which they like (and are able) to teach. 2. Some of the lecturers prefer to teach, say, in the morning, others may prefer afternoon or evening lectures. 3. Some lecturers may even have their preferred lecture rooms, maybe because they are close to their offic ...
... 1. Lecturers will have preferred courses which they like (and are able) to teach. 2. Some of the lecturers prefer to teach, say, in the morning, others may prefer afternoon or evening lectures. 3. Some lecturers may even have their preferred lecture rooms, maybe because they are close to their offic ...
The Quest for Efficient Boolean Satisfiability Solvers | SpringerLink
... solver. Each of these components has been the subject of much scrutiny over the years. This section focuses on the main lessons learnt in this process. 3.1 The Branching Heuristics Branching occurs in the function decide_next_branch() in Fig. 2. When no more deduction is possible, the function will ...
... solver. Each of these components has been the subject of much scrutiny over the years. This section focuses on the main lessons learnt in this process. 3.1 The Branching Heuristics Branching occurs in the function decide_next_branch() in Fig. 2. When no more deduction is possible, the function will ...
Streaming algorithms for embedding and computing edit distance in
... Whenever there is a mismatch remove at random either the closing parenthesis or the opening one. This algorithm can be applied also to approximately compute the edit distance of strings by pushing a reverse of one of the strings on the stack and matching the other string against the stack. Whenever ...
... Whenever there is a mismatch remove at random either the closing parenthesis or the opening one. This algorithm can be applied also to approximately compute the edit distance of strings by pushing a reverse of one of the strings on the stack and matching the other string against the stack. Whenever ...
Blackwell Guide to the Philosophy of Computing and
... that seem to involve emergence. There are three main views of emergent properties. The first is simply the idea of a property that applies to “wholes” or “totalities” but does not apply to the component “parts” considered in isolation (e.g., Baas 1994). For example, the constituent molecules in a ga ...
... that seem to involve emergence. There are three main views of emergent properties. The first is simply the idea of a property that applies to “wholes” or “totalities” but does not apply to the component “parts” considered in isolation (e.g., Baas 1994). For example, the constituent molecules in a ga ...
Genetic algorithm
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.