MSc_2011 - University of Alberta
... according to what increases the average confidence of the dataset the most Calculates distance, or amount of improvement if identified, to determine priority (one minus merge level equals new priority) Cindy Wong ...
... according to what increases the average confidence of the dataset the most Calculates distance, or amount of improvement if identified, to determine priority (one minus merge level equals new priority) Cindy Wong ...
Conflict-Based Search For Optimal Multi
... given a graph, G(V, E), and a set of k agents labeled a1 . . . ak . Each agent ai has a start position si ∈ V and goal position gi ∈ V . At each time step an agent can either move to a neighboring location or can wait in its current location. The task is to return a set of actions for each agent, th ...
... given a graph, G(V, E), and a set of k agents labeled a1 . . . ak . Each agent ai has a start position si ∈ V and goal position gi ∈ V . At each time step an agent can either move to a neighboring location or can wait in its current location. The task is to return a set of actions for each agent, th ...
The Model Checking Integrated Planning System (MIPS)
... However, it is not blindingly fast, so various efforts were made to speed it up, mostly well-known standard techniques in symbolic search such as forward set simplification. A bigger gain in efficiency was achieved by using bidirectional search, which can be incorporated into the algorithm in a stra ...
... However, it is not blindingly fast, so various efforts were made to speed it up, mostly well-known standard techniques in symbolic search such as forward set simplification. A bigger gain in efficiency was achieved by using bidirectional search, which can be incorporated into the algorithm in a stra ...
PPT
... For t=1,2,… wt=g(wt-1) LAR algorithms: the function g propagates the weight on the graph G Linear vs Non-Linear dynamical systems eigenvector analysis algorithms (PageRank, HITS) are linear dynamical systems AT(k), Norm(p) and MAX are non-linear ...
... For t=1,2,… wt=g(wt-1) LAR algorithms: the function g propagates the weight on the graph G Linear vs Non-Linear dynamical systems eigenvector analysis algorithms (PageRank, HITS) are linear dynamical systems AT(k), Norm(p) and MAX are non-linear ...
View PDF - Oriental Journal of Computer Science and Technology
... from huge amount of data. There are several mining algorithms available to solve diverse data mining problems. One of the knowledge and discovery in databases operations is the problem of inducing decision trees. C4.5 is one of the most important algorithms in Decision Tree Induction. In this paper ...
... from huge amount of data. There are several mining algorithms available to solve diverse data mining problems. One of the knowledge and discovery in databases operations is the problem of inducing decision trees. C4.5 is one of the most important algorithms in Decision Tree Induction. In this paper ...
A Numerical Study of One-Dimensional Hyperbolic Telegraph
... certain conditions. The Homotopy Analysis Method (HAM) is based on homotopy, a fundamental concept in topology. Briefly, in HAM, one constructs a continuous mapping of an initial guess approximation to the exact solution of the problems to be considered. An auxiliary linear operator is chosen to con ...
... certain conditions. The Homotopy Analysis Method (HAM) is based on homotopy, a fundamental concept in topology. Briefly, in HAM, one constructs a continuous mapping of an initial guess approximation to the exact solution of the problems to be considered. An auxiliary linear operator is chosen to con ...
Self-constructing Fuzzy Neural Networks with Extended Kalman Filter
... generate a fuzzy neural network with a high accuracy Another TSK-type fuzzy system implemented with raand compact structure. The proposed algorithm dial basis function (RBF) neural networks, termed dycomprises of three parts: (1) Criteria of rule genera- namic fuzzy neural network (DFNN), has been p ...
... generate a fuzzy neural network with a high accuracy Another TSK-type fuzzy system implemented with raand compact structure. The proposed algorithm dial basis function (RBF) neural networks, termed dycomprises of three parts: (1) Criteria of rule genera- namic fuzzy neural network (DFNN), has been p ...
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.