Application of AI- and ML-Techniques to FT
... Our Little Problem… • AI search techniques topology- and fault-type independent… • …but non-minimal routes utilized • Follow-up work shows how genetic algorithms (combined with heuristics) can find minimal routes in presence of network faults ...
... Our Little Problem… • AI search techniques topology- and fault-type independent… • …but non-minimal routes utilized • Follow-up work shows how genetic algorithms (combined with heuristics) can find minimal routes in presence of network faults ...
1 Bayesian Networks
... This blocked given D by the node E, since this is not one of the given nodes (i.e., is not D) and has both arrows on the path going into it. (ii) C − B − A − D − E − F . This path is also blocked by E (and D as well). So, D does d-separate C and F. (ii) Do D and E d-separate C and F ? The path C − B ...
... This blocked given D by the node E, since this is not one of the given nodes (i.e., is not D) and has both arrows on the path going into it. (ii) C − B − A − D − E − F . This path is also blocked by E (and D as well). So, D does d-separate C and F. (ii) Do D and E d-separate C and F ? The path C − B ...
Understanding and Improving Local Exploration for GBFS
... but smaller local searches may be a good tradeoff. To investigate this with minimal changes to the algorithm, the proposed new scheme GBFS-LS-X ×Y , where X ×Y = 1000, runs X local searches with Y expansions each from X random nodes in the best (minimum h) bucket in the open list. If there are fewer ...
... but smaller local searches may be a good tradeoff. To investigate this with minimal changes to the algorithm, the proposed new scheme GBFS-LS-X ×Y , where X ×Y = 1000, runs X local searches with Y expansions each from X random nodes in the best (minimum h) bucket in the open list. If there are fewer ...
Slides - Computer Science, Columbia University
... Most basic: variables, 1-d arrays Depending on the computational task, more sophisticated data structures can be helpful, with a tradeoff We’ll look at two very common data structures ...
... Most basic: variables, 1-d arrays Depending on the computational task, more sophisticated data structures can be helpful, with a tradeoff We’ll look at two very common data structures ...
Transaction-oriented library for persistent objects with applications
... public static void main (String[] args) { String line; if (head == null) // Check if first run. while ((line = getLine ()) != null) addLine (line); printList (); ...
... public static void main (String[] args) { String line; if (head == null) // Check if first run. while ((line = getLine ()) != null) addLine (line); printList (); ...
Evaluation of an FPGA-Based Shortest-Path
... updating tentative distances in Step3. In these processing, there are many comparison operations on multiple node data. Hence, a parallelized architecture such as the SIMD architecture is suitable for accelerating the processing of the Dijkstra’s algorithm. Since tentative distances and paths are re ...
... updating tentative distances in Step3. In these processing, there are many comparison operations on multiple node data. Hence, a parallelized architecture such as the SIMD architecture is suitable for accelerating the processing of the Dijkstra’s algorithm. Since tentative distances and paths are re ...
Chapter 15 - Cengage Learning
... is that of expert systems (also called ‘knowledge systems’). An expert system is based on three concepts, namely, the knowledge of facts, data about the relationship among these facts and a method to store and access this data. An expert system is created by extracting facts from human knowledge, su ...
... is that of expert systems (also called ‘knowledge systems’). An expert system is based on three concepts, namely, the knowledge of facts, data about the relationship among these facts and a method to store and access this data. An expert system is created by extracting facts from human knowledge, su ...
Monday, March 23, 2009 - Lynbrook Computer Science
... Consider the binary search tree that is formed from the letters S N O W F L A K E, in that order. Now consider the binary search tree built from the letter in reverse order (that is, the letters E K A L F W O N S, in that order). Both trees have 9 nodes. What is the sum of the internal path length ...
... Consider the binary search tree that is formed from the letters S N O W F L A K E, in that order. Now consider the binary search tree built from the letter in reverse order (that is, the letters E K A L F W O N S, in that order). Both trees have 9 nodes. What is the sum of the internal path length ...
Game Playing (Tic-Tac-Toe)
... One of the unexpanded OR clauses / the set of unexpanded AND clauses, where the pointer points from its parent, is now expanded and the h of the newly generated children are estimated. The effect of this h has to be propagated up to the root by re-calculating the f of the parent or the parent of the ...
... One of the unexpanded OR clauses / the set of unexpanded AND clauses, where the pointer points from its parent, is now expanded and the h of the newly generated children are estimated. The effect of this h has to be propagated up to the root by re-calculating the f of the parent or the parent of the ...
minimax-tictactoe
... One of the unexpanded OR clauses / the set of unexpanded AND clauses, where the pointer points from its parent, is now expanded and the h of the newly generated children are estimated. The effect of this h has to be propagated up to the root by re-calculating the f of the parent or the parent of the ...
... One of the unexpanded OR clauses / the set of unexpanded AND clauses, where the pointer points from its parent, is now expanded and the h of the newly generated children are estimated. The effect of this h has to be propagated up to the root by re-calculating the f of the parent or the parent of the ...
Association Rule Mining in Peer-to
... Dynamic topology changes of the network On-the-fly data updates Resource sharing with other applications Frequent failure and recovery of resources. ...
... Dynamic topology changes of the network On-the-fly data updates Resource sharing with other applications Frequent failure and recovery of resources. ...