コンピューター Thinking Machines Machine Learning and its Hardware Implementation
Summary
Many hardware implementations of machine learning are dedicated hardware. These means include the f...
人工知能:Artificial Intelligence
コンピューター アルゴリズム:Algorithms Protected: Support Vector Machines for Weak Label Learning (2) Multi-Instance Learning
Extension of support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks; multi-instance learning approach with SVMs for weak-label learning problems (mi-SVM, MI-SVM)
アルゴリズム:Algorithms Protected: Computation of graphical models with hidden variables
Parameter learning of graphical models with hidden variables using variational EM algorithm in stochastic generative models (wake-sleep algorithm, MCEM algorithm, stochastic EM algorithm, Gibbs sampling, contrastive divergence method, constrained Boltzmann machine, EM algorithm, KL divergence)
アルゴリズム:Algorithms Protected: Application of Variational Bayesian Algorithm to Matrix Decomposition Models with Missing Values
Application of variational Bayesian algorithm to matrix factorization models with missing values as a stochastic generative model computation for use in digital transformation, artificial intelligence, and machine learning tasks
アルゴリズム:Algorithms Protected: Application of Nonparametric Bayesian Structural Change Estimation
Nonparametric Bayesian structural change estimation using Gibbs sampling as an application of probabilistic generative models for digital transformation, artificial intelligence, and machine learning tasks
アルゴリズム:Algorithms Protected: Stochastic Generative Models and Gaussian Processes(2)Maximum Likelihood and Bayesian Estimation
Maximum Likelihood and Bayesian Estimation Overview for Probabilistic Generative Models and Gaussian Process Fundamentals Used in Digital Transformation, Artificial Intelligence, and Machine Learning Tasks
Clojure Clojure and Python integration and machine learning
Implementation of a library (libpython-clj) and sample code (transformers, lime, autoencoder, etc.) for integration with Clojure for Python modules used for digital transformation, artificial intelligence and machine learning tasks
python GPy – A Python-based framework for Gaussian processes
GPy Gaussian regression problem, auxiliary variable method, sparse Gaussian regression, Bayesian GPLVM, latent variable model with Gaussian processes, a Python-based implementation of Gaussian processes, an application of stochastic generative models used in digital transformation, artificial intelligence and machine learning tasks.
Clojure Implementation of Gaussian Processes in Clojure
Implementation of Gaussian processes in Clojure using fastmath as an extension of stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks
アルゴリズム:Algorithms Protected: Support Vector Machines for Weak Label Learning (1) Semi-supervised Learning
Weak label learning (semi-supervised learning where label information is given only for a subset of training cases) as an application of support vector machines utilized in digital transformation, artificial intelligence, and machine learning tasks