Blar i Scientific Publications in Information and Communication Technology på forfatter "Granmo, Ole-Christoffer"
-
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions
Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, B. John; Jiao, Lei (Journal article; Peer reviewed, 2014)The most difficult part in the design and analysis of Learning Automata (LA) consists of the formal proofs of their convergence accuracies. The mathematical techniques used for the different families (Fixed Structure, ... -
A framework for assessing the condition of crowds exposed to a fire hazard using a probabilistic model
Radianti, Jaziar; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2014)Allocating limited resources in an optimal manner when rescuing victims from a hazard is a complex and error prone task, because the involved hazards are typically evolving over time; stagnating, building up or diminishing. ... -
A hierarchical learning scheme for solving the Stochastic Point Location problem
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B. John; Goodwin, Morten (Lecture Notes in Computer Science;7345, Chapter; Peer reviewed, 2012)This paper deals with the Stochastic-Point Location (SPL) problem. It presents a solution which is novel in both philosophy and strategy to all the reported related learning algorithms. The SPL problem concerns the task ... -
A spatio-temporal probabilistic model of hazard and crowd dynamics in disasters for evacuation planning
Granmo, Ole-Christoffer; Radianti, Jaziar; Goodwin, Morten; Dugdale, Julie; Sarshar, Parvaneh; Glimsdal, Sondre; Gonzalez, Jose J. (Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)Managing the uncertainties that arise in disasters – such as ship fire – can be extremely challenging. Previous work has typically focused either on modeling crowd behavior or hazard dynamics, targeting fully known ... -
A Stochastic Search on the Line-Based Solution to Discretized Estimation
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B. John (Lecture Notes in Computer Science;7345, Chapter; Peer reviewed, 2012)Recently, Oommen and Rueda [11] presented a strategy by which the parameters of a binomial/multinomial distribution can be estimated when the underlying distribution is nonstationary. The method has been referred to as the ... -
A two-armed bandit based scheme for accelerated decentralized learning
Granmo, Ole-Christoffer; Glimsdal, Sondre (Lecture Notes in Computer Science;6704, Chapter; Peer reviewed, 2011)The two-armed bandit problem is a classical optimization problem where a decision maker sequentially pulls one of two arms attached to a gambling machine, with each pull resulting in a random reward. The reward distributions ... -
A two-armed bandit collective for examplar based mining of frequent itemsets with applications to intrusion detection
Haugland, Vegard; Kjølleberg, Marius; Larsen, Svein-Erik; Granmo, Ole-Christoffer (Lecture Notes in Computer Science;6922, Chapter; Peer reviewed, 2011)Over the last decades, frequent itemset mining has become a major area of research, with applications including indexing and similarity search, as well as mining of data streams, web, and software bugs. Although several ... -
A two-armed bandit collective for hierarchical examplar based mining of frequent itemsets with applications to intrusion detection
Haugland, Vegard; Kjølleberg, Marius; Larsen, Svein-Erik; Granmo, Ole-Christoffer (Lecture Notes in Computer Science;8615, Chapter; Peer reviewed, 2014)In this paper we address the above problem by posing frequent item-set mining as a collection of interrelated two-armed bandit problems. We seek to find itemsets that frequently appear as subsets in a stream of itemsets, ... -
A user-centric approach for personalized service provisioning in pervasive environments
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B. John; Gerdes, Martin; Reichert, Frank (Journal article; Peer reviewed, 2011)The vision of pervasive environments is being realized more than ever with the proliferation of services and computing resources located in our surrounding environments. Identifying those services that deserve the attention ... -
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game
Granmo, Ole-Christoffer; Glimsdal, Sondre (Journal article; Peer reviewed, 2012)The two-armed bandit problem is a classical optimization problem where a decision maker sequentially pulls one of two arms attached to a gambling machine, with each pull resulting in a random reward. The reward distributions ... -
Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
An adaptive approach to learning the preferences of users in a social network using weak estimators
Oommen, B. John; Yazidi, Anis; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2012)Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to ... -
An intelligent architecture for service provisioning in pervasive environments
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B. John; Reichert, Frank; Gerdes, Martin (Chapter; Peer reviewed, 2011)The vision of pervasive environments is being realized more than ever with the proliferation of services and computing resources located in our surrounding environments. Identifying those services that deserve the attention ... -
Ant colony optimisation for planning safe escape routes
Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar; Sarshar, Parvaneh; Glimsdal, Sondre (Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)An emergency requiring evacuation is a chaotic event filled with uncertainties both for the people affected and rescuers. The evacuees are often left to themselves for navigation to the escape area. The chaotic situation ... -
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Abeyrathna, Kuruge Darshana; Abouzeid, Ahmed Abdulrahem Othman; Bhattarai, Bimal; Giri, Charul; Glimsdal, Sondre; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Sharma, Jivitesh; Tunheim, Svein Anders; Zhang, Xuan (Academic article, 2023)Tsetlin machine (TM) is a logic-based machine learning approach with the crucial advantages of being transparent and hardware-friendly. While TMs match or surpass deep learning accuracy for an increasing number of applications, ... -
Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis
Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (Chapter; Peer reviewed, 2019) -
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton
Zhang, Xuan; Jiao, Lei; Oommen, John; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2019)This paper deals with the finite-time analysis (FTA) of learning automata (LA), which is a topic for which very little work has been reported in the literature. This is as opposed to the asymptotic steady-state analysis ... -
Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification
Tunheim, Svein Anders; Lei, Jiao; Shafik, Rishad Ahmed; Yakovlev, Alexandre; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2023)The Tsetlin Machine (TM) is a machine learning algorithm based on an ensemble of Tsetlin Automata (TAs) that learns propositional logic expressions from Boolean input features. In this paper, the design and implementation ... -
Cyclostationary Random Number Sequences for the Tsetlin Machine
Tunheim, Svein Anders; Yadav, Rohan Kumar; Lei, Jiao; Shafik, Rishad; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2022)The Tsetlin Machine (TM) constitutes an emerging machine learning algorithm that has shown competitive performance on several benchmarks. The underlying concept of the TM is propositional logic determined by a group of ... -
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (Journal article; Peer reviewed, 2020)