Literature Review and Theoretical Review of Neuroevolution of Augmenting Topologies (NEAT) Introduction Neuroevolution of Augmenting Topologies (NEAT) is a method in evolutionary computation that evolves artificial neural networks (ANNs) with complex topologies. This review provides an overview o...
Literature Review and Theoretical Review of Differentiable Programming Introduction Differentiable Programming (DP) is a paradigm that extends the capabilities of traditional programming by allowing programs to be differentiated with respect to their inputs. This review provides an overview of th...
Literature Review and Theoretical Review of Monte Carlo Tree Search (MCTS) Introduction Monte Carlo Tree Search (MCTS) is a heuristic search algorithm used in decision processes and games. Initially developed for game-playing AI, MCTS has found applications in various domains due to its ability t...
Literature Review and Theoretical Review of Imbalanced Learning Introduction Imbalanced learning deals with classification problems where the distribution of classes in the training data is highly skewed. It's crucial in various real-world applications such as medical diagnosis, fraud detection, an
Literature Review and Theoretical Review of Dynamic Time Warping (DTW) Introduction Dynamic Time Warping (DTW) is a technique used to measure similarity between two temporal sequences that may vary in speed. It has applications in various fields such as speech recognition, pattern recognition, an...
Literature Review and Theoretical Review of Kernel Methods Introduction Kernel methods constitute a class of algorithms widely used in machine learning for tasks such as classification, regression, and dimensionality reduction. This review provides an overview of the historical development, key c...
Literature Review and Theoretical Review of Quantum Computing for AI Introduction Quantum Computing for AI represents the integration of quantum computing techniques with artificial intelligence (AI) algorithms and methodologies. This review explores the historical background, key concepts, metho...
Literature Review and Theoretical Review of Evolutionary Strategies Introduction Evolutionary Strategies (ES) are optimization algorithms inspired by principles of natural evolution, particularly Darwinian evolution and the mechanisms of natural selection. This review explores the historical deve...
Literature Review and Theoretical Review of Conformal Prediction Introduction Conformal Prediction is a framework in machine learning and statistical inference that provides valid measures of confidence or uncertainty for individual predictions. Unlike traditional statistical methods that produce...
Literature Review and Theoretical Review of Self-organizing Maps (SOM) Introduction Self-organizing Maps (SOM), also known as Kohonen maps, are a type of artificial neural network trained using unsupervised learning. They are widely used for dimensionality reduction, visualization, and clustering...
Literature Review and Theoretical Review of Knowledge Graphs Introduction Knowledge graphs represent structured knowledge in a graph format, consisting of entities, attributes, and relationships. They have gained prominence in various applications, including semantic search, question answering, and
Literature Review and Theoretical Review of Conversational AI Introduction Conversational AI, also referred to as chatbot technology or conversational agents, pertains to artificial intelligence systems designed to engage in human-like conversations. It combines various disciplines such as natura...
Literature Review and Theoretical Review of Structured Prediction Introduction Structured Prediction is a machine learning task that involves predicting interdependent output variables, often forming complex structures such as sequences, trees, or graphs. Unlike traditional prediction tasks where o
Literature Review and Theoretical Review of Incremental Learning Introduction Incremental Learning is a machine learning paradigm where the model is continuously updated as new data becomes available. Unlike traditional batch learning, where models are trained on a fixed dataset, incremental lear...
Literature Review and Theoretical Review of Interactive Learning Systems Introduction Interactive Learning Systems (ILS) are educational technologies designed to engage learners through interaction, feedback, and adaptive learning experiences. These systems leverage advancements in artificial int...
Literature Review and Theoretical Review of Automated Planning and Scheduling Introduction Automated planning and scheduling involve the use of algorithms and computational methods to generate plans and schedules that achieve specific goals or optimize resource allocation. These techniques are wi...
Literature Review and Theoretical Review of Temporal Reasoning Introduction Temporal reasoning involves understanding and manipulating temporal information to solve problems and make decisions. It is essential in various fields, such as artificial intelligence, computer science, and cognitive sci...
Literature Review and Theoretical Review of Spatial Reasoning Introduction Spatial reasoning is the ability to understand and manipulate spatial information to solve problems and make decisions. It plays a crucial role in various domains, including robotics, computer vision, geographic informatio...
Literature Review and Theoretical Review of Hybrid Recommender Systems Introduction Recommender systems play a crucial role in assisting users in finding relevant items or content in various online platforms. Hybrid recommender systems, which combine multiple recommendation techniques, have gained
Literature Review and Theoretical Review of Multi-agent Systems (MAS) Introduction Multi-agent Systems (MAS) represent a field of study within artificial intelligence where multiple autonomous agents interact or work together to achieve individual or collective goals. Each agent in a MAS is typical