665 results on '"B. John Oommen"'
Search Results
152. Using learning automata to model a student-classroom interaction in a tutorial-like system.
153. Using learning automata to model the behavior of a teacher in a tutorial-like system.
154. Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.
155. A Novel Method for Micro-Aggregation in Secure Statistical Databases Using Association and Interaction.
156. Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications.
157. On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem.
158. On Optimizing the k-Ward Micro-aggregation Technique for Secure Statistical Databases.
159. On Utilizing Attribute Cardinality Maps to Enhance Query Optimization in the Oracle Database System.
160. On Enhancing Query Optimization in the Oracle Database System by Utilizing Attribute Cardinality Maps.
161. Lists on Lists: A Framework for Self-organizing Lists in Environments with Locality of Reference.
162. The averaged mappings problem: statement, applications, and approximate solution.
163. On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes.
164. Turning Lights Out with DQ-Learning.
165. Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games.
166. A Fixed Structure Learning Automaton Micro-aggregation Technique for Secure Statistical Databases.
167. An Application of a Game of Discrete Generalised Pursuit Automata to Solve a Multi-Constraint Partitioning Problem.
168. A Fault-Tolerant Routing Algorithm for Mobile Ad Hoc Networks Using a Stochastic Learning-Based Weak Estimation Procedure.
169. On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes.
170. On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables.
171. A Look-Ahead Branch and Bound Pruning Scheme for Trie-Based Approximate String Matching.
172. Neural Network-Based Chaotic Pattern Recognition - Part 2: Stability and Algorithmic Issues.
173. Modeling Inaccurate Perception: Desynchronization Issues of a Chaotic Pattern Recognition Neural Network.
174. Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategies.
175. Efficient Adaptive Data Compression Using Fano Binary Search Trees.
176. New Algorithms for Maintaining All-Pairs Shortest Paths.
177. On using conditional rotations and randomized heuristics for self-organizing ternary search tries.
178. Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets.
179. On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions.
180. Stochastic Learning Automata-Based Dynamic Algorithms for the Single Source Shortest Path Problem.
181. Stochastic Sorting Using Deterministic Consecutive and Leader Filters.
182. Generalized pursuit learning algorithms for shortest path routing tree computation.
183. Deterministic Majority filters applied to stochastic sorting.
184. Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods.
185. On Designing Pattern Classifiers Using Artificially Created Bootstrap Samples.
186. On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data.
187. Dictionary-Based Syntactic Pattern Recognition Using Tries.
188. A New Family of Weak Estimators for Training in Non-stationary Distributions.
189. A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions.
190. A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme.
191. On the Existence and Heuristic Computation of the Solution for the Commons Game.
192. Logistic Neural Networks: Their chaotic and pattern recognition properties.
193. Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations.
194. 'Anti-Bayesian' parametric pattern classification using order statistics criteria for some members of the exponential family.
195. Topology-oriented self-organizing maps: a survey.
196. A new histogram method for sparse attributes: the averaged rectangular attribute cardinality map.
197. Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations.
198. On How to Learn from a Stochastic Teacher or a Stochastic Compulsive Liar of Unknown Identity.
199. On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods.
200. Classification Error-Rate Estimation Using New Pseudo-Sample Bootstrap Methods.
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