KASKUS

Membuat thread • 24-05-2024 13:15

Literature Review and Theoretical Review of Imitation Learning

Literature Review and Theoretical Review of Imitation Learning Introduction Imitation Learning, also known as Learning from Demonstration (LfD) or Apprenticeship Learning, is a machine learning paradigm where an agent learns to perform a task by observing demonstrations provided by an expert. Thi...

Membuat thread • 24-05-2024 13:13

Literature Review and Theoretical Review of Cognitive Computing

Literature Review and Theoretical Review of Cognitive Computing Introduction Cognitive Computing represents a paradigm shift in computing that aims to mimic human thought processes to solve complex problems. This review explores the theoretical foundations, key concepts, methodologies, and applic...

Membuat thread • 24-05-2024 13:11

Literature Review and Theoretical Review of Simulated Annealing

Literature Review and Theoretical Review of Simulated Annealing Introduction Simulated Annealing (SA) is a probabilistic optimization algorithm inspired by the annealing process in metallurgy. It is widely used to find near-optimal solutions to combinatorial optimization problems. This review exp...

Membuat thread • 24-05-2024 13:08

Literature Review and Theoretical Review of Bayesian Networks

Literature Review and Theoretical Review of Bayesian Networks Introduction Bayesian networks (BNs) are probabilistic graphical models that represent probabilistic relationships among a set of variables. This review explores the theoretical foundations, key concepts, methodologies, and application...

Membuat thread • 24-05-2024 13:06

Literature Review and Theoretical Review of Probabilistic Programming

Literature Review and Theoretical Review of Probabilistic Programming Introduction Probabilistic programming is a programming paradigm that enables the specification and inference of probabilistic models using high-level languages. This review explores the theoretical foundations, key concepts, m...

Membuat thread • 24-05-2024 13:04

Literature Review and Theoretical Review of Case-based Reasoning

Literature Review and Theoretical Review of Case-based Reasoning Introduction Case-based reasoning (CBR) is a problem-solving paradigm that relies on past experiences, or cases, to solve new problems. This review explores the theoretical foundations, key concepts, methodologies, and applications of

Membuat thread • 24-05-2024 12:33

Literature Review and Theoretical Review of Instance-based Learning

Literature Review and Theoretical Review of Instance-based Learning Introduction Instance-based learning, also known as memory-based learning or lazy learning, is a machine learning paradigm that relies on storing instances of training data and classifying new instances based on their similarity to

Membuat thread • 24-05-2024 12:32

Literature Review and Theoretical Review of Neuroevolution

Literature Review and Theoretical Review of Neuroevolution Introduction Neuroevolution is an interdisciplinary field that combines principles from neuroscience and evolutionary computation to develop artificial neural networks (ANNs) through evolutionary algorithms. This review explores the theor...

Membuat thread • 24-05-2024 12:30

Literature Review and Theoretical Review of Neuroevolution

Literature Review and Theoretical Review of Neuroevolution Introduction Neuroevolution is an interdisciplinary field that combines principles from neuroscience and evolutionary computation to develop artificial neural networks (ANNs) through evolutionary algorithms. This review explores the theor...

Membuat thread • 24-05-2024 12:28

Literature Review and Theoretical Review of Evolutionary Computation

Literature Review and Theoretical Review of Evolutionary Computation Introduction Evolutionary Computation (EC) is a subfield of artificial intelligence inspired by the principles of natural evolution. It encompasses a set of computational techniques and algorithms that simulate evolutionary proces

Membuat thread • 24-05-2024 12:25

Literature Review and Theoretical Review of Transfer Learning

Literature Review and Theoretical Review of Transfer Learning Introduction Transfer Learning (TL) is a machine learning technique that leverages knowledge gained from solving one task to improve learning or performance on a related but different task. Unlike traditional machine learning approache...

Membuat thread • 24-05-2024 12:23

Literature Review and Theoretical Review of Evolutionary Computation

Literature Review and Theoretical Review of Evolutionary Computation Introduction Evolutionary Computation (EC) is a subfield of artificial intelligence inspired by the principles of natural evolution. It encompasses a set of computational techniques and algorithms that simulate evolutionary proc...

Membuat thread • 24-05-2024 12:22

Literature Review and Theoretical Review of Swarm Robotics

Literature Review and Theoretical Review of Swarm Robotics Introduction Swarm Robotics is a field of robotics that focuses on the coordination and collaboration of multiple robots to achieve a common goal. Inspired by the collective behavior of social insects like ants, bees, and termites, swarm ...

Membuat thread • 24-05-2024 12:20

Literature Review and Theoretical Review of Probabilistic Graphical Models (PGMs)

Literature Review and Theoretical Review of Probabilistic Graphical Models (PGMs) Introduction Probabilistic Graphical Models (PGMs) are a class of statistical models that represent and reason about uncertainty in complex systems using graphs. These models provide a framework for combining probab...

Membuat thread • 24-05-2024 12:18

Literature Review and Theoretical Review of Swarm Intelligence

Literature Review and Theoretical Review of Swarm Intelligence Introduction Swarm intelligence (SI) refers to the collective behavior of decentralized, self-organized systems, typically natural or artificial. The concept is inspired by the social behaviors of animals such as birds flocking, fish ...

Membuat thread • 24-05-2024 12:15

Literature Review and Theoretical Review of Fuzzy Logic

Literature Review and Theoretical Review of Fuzzy Logic Introduction Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than fixed and exact. Unlike traditional binary sets (where variables may take on true or false values),...

Membuat thread • 24-05-2024 12:13

Literature Review and Theoretical Review of Expert Systems

Literature Review and Theoretical Review of Expert Systems Introduction Expert systems are a branch of artificial intelligence (AI) that aim to emulate the decision-making abilities of a human expert. These systems use knowledge and inference procedures to solve complex problems that typically re...

Membuat thread • 24-05-2024 12:11

Literature Review and Theoretical Review of Genetic Algorithms

Literature Review and Theoretical Review of Genetic Algorithms Introduction Genetic Algorithms (GAs) are a class of optimization algorithms inspired by the principles of natural selection and genetics. Developed by John Holland in the 1960s and 1970s, GAs are used to find approximate solutions to...

Membuat thread • 24-05-2024 12:09

Reinforcement Learning

Literature Review and Theoretical Review of Reinforcement Learning Introduction Reinforcement Learning (RL) is a subfield of machine learning focused on training agents to make a sequence of decisions by interacting with their environment to achieve a specific goal. Unlike supervised learning, wh...

Membuat thread • 24-05-2024 12:07

Literature Review and Theoretical Review of Computer Vision

Literature Review and Theoretical Review of Computer Vision Introduction Computer Vision (CV) is a field of artificial intelligence that enables computers to interpret and process visual information from the world. By leveraging algorithms and models, computers can gain a high-level understanding...