639 results on '"Granmo, Ole-Christoffer"'
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102. Towards Open Domain Chatbots—A GRU Architecture for Data Driven Conversations
103. Solution of Dual Fuzzy Equations Using a New Iterative Method
104. Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines
105. Explainable Reinforcement Learning with the Tsetlin Machine
106. Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing
107. Emergency Detection with Environment Sound Using Deep Convolutional Neural Networks
108. A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
109. Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing
110. Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing
111. Integer Weighted Regression Tsetlin Machines
112. Deep Convolutional Neural Networks for Fire Detection in Images
113. A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation
114. Tsetlin Machine in DNA sequence classification : Application to prokaryote gene prediction / A match made in silico
115. Model Export for the Convolutional Coalesced Tsetlin Machine
116. Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning
117. Enhancing Inference Performance through Include only Literal Incorporation in Tsetlin Machine
118. Systematic Search for Optimal Hyper-parameters of the Tsetlin Machine on MNIST Dataset
119. Contracting Tsetlin Machine with Absorbing Automata
120. Exploring the Potential of Model-Free Reinforcement Learning using Tsetlin Machines
121. Verifying Properties of Tsetlin Machines
122. Towards IoT Anomaly Detection with Tsetlin Machines
123. Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
124. Information Abstraction from Crises Related Tweets Using Recurrent Neural Network
125. Towards Model-Based Reinforcement Learning for Industry-Near Environments
126. The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems
127. Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments
128. Thompson Sampling Guided Stochastic Searching on the Line for Adversarial Learning
129. A Bayesian Network Model for Fire Assessment and Prediction
130. Modeling Snow Dynamics Using a Bayesian Network
131. A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem
132. On the Convergence of Tsetlin Machines for the XOR Operator
133. The Tsetlin Machine - From Arithmetic to Logic-based AI
134. A Two-Armed Bandit Collective for Hierarchical Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection
135. A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks
136. Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms
137. Towards Open Domain Chatbots—A GRU Architecture for Data Driven Conversations
138. Solution of Dual Fuzzy Equations Using a New Iterative Method
139. The Dreaming Variational Autoencoder for Reinforcement Learning Environments
140. Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
141. REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines
142. Towards Safe and Sustainable Reinforcement Learning for Real-Time Strategy Games Per-Arne Andersen∗, Morten Goodwin, Ole-Christoffer Granmo
143. Towards artificial virtuous agents: games, dilemmas and machine learning
144. The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality
145. On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton
146. A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning
147. Ant Colony Optimisation for Planning Safe Escape Routes
148. A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem
149. A Stochastic Search on the Line-Based Solution to Discretized Estimation
150. Discretized Bayesian Pursuit – A New Scheme for Reinforcement Learning
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