KASKUS

Membuat thread • 25-05-2024 10:51

review Knowledge Representation and Reasoning (KRR)

Literature Review and Theoretical Review of Knowledge Representation and Reasoning (KRR) Introduction Knowledge Representation and Reasoning (KRR) is a fundamental area of artificial intelligence (AI) that focuses on how knowledge can be represented in a form that a computer system can utilize to...

Membuat thread • 25-05-2024 10:48

Literature Review and Theoretical Review of Adaptive Learning Systems

Literature Review and Theoretical Review of Adaptive Learning Systems Introduction Adaptive Learning Systems (ALS) are educational technologies that customize the learning experience for individual students based on their unique needs, preferences, and performance. These systems leverage various ...

Membuat thread • 25-05-2024 10:45

Literature Review and Theoretical Review of Sentiment Analysis

Literature Review and Theoretical Review of Sentiment Analysis Introduction Sentiment Analysis, also known as opinion mining, is a subfield of Natural Language Processing (NLP) that focuses on identifying and extracting subjective information from text data. The primary goal is to determine the s...

Membuat thread • 24-05-2024 14:15

Literature Review and Theoretical Review of Evolutionary Robotics

Literature Review and Theoretical Review of Evolutionary Robotics Introduction Evolutionary Robotics (ER) is an interdisciplinary research field that applies principles of evolutionary biology and artificial intelligence to design and optimize robot controllers and morphologies. This review provi...

Membalas thread anavrin • 24-05-2024 14:11

ID No "1" yang aktif dan yang tertua tertua di kaskus

wah ada juga akun tua disini yang masi aktif, dikira cuma ane doang yang ketuaan

Membuat thread • 24-05-2024 13:54

Literature Review and Theoretical Review of Social Network Analysis (SNA)

Literature Review and Theoretical Review of Social Network Analysis (SNA) Introduction Social Network Analysis (SNA) is a multidisciplinary field that examines social structures through the lens of networks. It explores the relationships and interactions among individuals, groups, organizations, or

Membuat thread • 24-05-2024 13:52

Literature Review and Theoretical Review of Robust Machine Learning

Literature Review and Theoretical Review of Robust Machine Learning Introduction Robust Machine Learning (ML) is a subfield that focuses on developing algorithms and techniques capable of producing reliable predictions even in the presence of noisy or adversarial data. This review provides an ove...

Membuat thread • 24-05-2024 13:46

Literature Review and Theoretical Review of Reservoir Computing

Literature Review and Theoretical Review of Reservoir Computing Introduction Reservoir Computing (RC) is a class of machine learning techniques that leverages the dynamics of a fixed recurrent neural network, called the reservoir, to process sequential data. This review provides an overview of th...

Membuat thread • 24-05-2024 13:44

Literature Review and Theoretical Review of Neurosymbolic AI Introduction

Literature Review and Theoretical Review of Neurosymbolic AI Introduction Neurosymbolic AI is an interdisciplinary field that integrates symbolic reasoning with neural networks to address complex problems requiring both symbolic and subsymbolic processing. This review provides an overview of the ...

Membuat thread • 24-05-2024 13:42

Literature Review and Theoretical Review of Differential Privacy

Literature Review and Theoretical Review of Differential Privacy Introduction Differential Privacy is a rigorous privacy framework that ensures the confidentiality of sensitive information in data analysis and machine learning tasks. This review provides an overview of the theoretical foundations...

Membuat thread • 24-05-2024 13:40

Literature Review and Theoretical Review of Adversarial Machine Learning

Literature Review and Theoretical Review of Adversarial Machine Learning Introduction Adversarial Machine Learning is a subfield of machine learning focused on studying the vulnerabilities of machine learning models to adversarial attacks. This review provides insights into the theoretical founda...

Membuat thread • 24-05-2024 13:39

Literature Review and Theoretical Review of Explainable Reinforcement Learning (XRL)

Literature Review and Theoretical Review of Explainable Reinforcement Learning (XRL) Introduction Explainable Reinforcement Learning (XRL) is a specialized field within reinforcement learning (RL) that aims to enhance the transparency and interpretability of RL models and their decision-making pr...

Membuat thread • 24-05-2024 13:37

Literature Review and Theoretical Review of Quantum Machine Learning

Literature Review and Theoretical Review of Quantum Machine Learning Introduction Quantum machine learning is an interdisciplinary field that explores the intersection of quantum computing and machine learning. This review provides an overview of the theoretical foundations, methodologies, applic...

Membuat thread • 24-05-2024 13:33

Literature Review and Theoretical Review of Meta-learning

Literature Review and Theoretical Review of Meta-learning Introduction Meta-learning, also known as learning to learn, is a subfield of machine learning that focuses on developing algorithms capable of learning from multiple tasks or datasets. This review provides an overview of the theoretical f...

Membuat thread • 24-05-2024 13:30

Literature Review and Theoretical Review of Explainable AI (XAI)

Literature Review and Theoretical Review of Explainable AI (XAI) Introduction Explainable AI (XAI) is an interdisciplinary field that focuses on developing transparent, interpretable, and human-understandable machine learning models. This review explores the theoretical foundations, methodologies,

Membuat thread • 24-05-2024 13:26

Literature Review and Theoretical Review of Active Learning

Literature Review and Theoretical Review of Active Learning Introduction Active Learning is a machine learning paradigm where the algorithm interacts with an oracle (often a human annotator) to selectively acquire labeled data points that are most informative for improving the model's performance...

Membuat thread • 24-05-2024 13:23

Literature Review and Theoretical Review of Deep Reinforcement Learning

Literature Review and Theoretical Review of Deep Reinforcement Learning Introduction Deep Reinforcement Learning (DRL) is an area of artificial intelligence (AI) that combines deep learning techniques with reinforcement learning principles to enable agents to learn optimal behavior in complex env...

Membuat thread • 24-05-2024 13:21

Literature Review and Theoretical Review of Hybrid Intelligent Systems

Literature Review and Theoretical Review of Hybrid Intelligent Systems Introduction Hybrid Intelligent Systems (HIS) represent a fusion of different artificial intelligence (AI) techniques to create systems that leverage the strengths of multiple approaches. This review delves into the theoretica...

Membuat thread • 24-05-2024 13:19

Literature Review and Theoretical Review of Self-supervised Learning

Literature Review and Theoretical Review of Self-supervised Learning Introduction Self-supervised Learning is a machine learning paradigm aimed at leveraging unlabeled data to learn useful representations or features without requiring explicit supervision. Unlike supervised learning, where models...

Membuat thread • 24-05-2024 13:17

Literature Review and Theoretical Review of One-shot Learning

Literature Review and Theoretical Review of One-shot Learning Introduction One-shot Learning is a machine learning paradigm aimed at training models capable of generalizing from a single or a few examples per class. Unlike traditional machine learning approaches that require large amounts of labe...