推論技術:inference Technology Overview of Kernel Methods and Support Vector Machines
On kernel methods, one of the breakthroughs in machine learning technology
自然言語処理:Natural Language Processing
推論技術:inference Technology 推論技術:inference Technology Protected: Classification (4) Group learning(Ensemble Learning, Random Forest) and evaluation of learning results(Cross-validation method)
Algorithms for collective learning for data classification and evaluation of classification results (ensemble learning, bagging, boosting, random forests, cross-validation)
R R language and Machine Learning
Overview of the R language as a general-purpose tool for machine learning
機械学習:Machine Learning Protected: Two approaches to language meaning (fusion of symbolic and distributed representations)
Symbolic and vector representation approaches to natural language meaning that can be used for artificial intelligence (AI) and digital transformation (DX) tasks and their integration, content relation recognition, paraphrase recognition, semantic similarity recognition, datasets (RTE, RITE, STS)
機械学習:Machine Learning Protected: Teaching the meaning of words to a computer (on various language models)
Meaning of Natural Language by WordNet (Dictionary), Distributed Hypothesis, PPMI, Singularity Decomposition (SVD), Word2Vec (Distributed Representation) in Natural Language Processing
機械学習:Machine Learning Protected: Topic models that capture the individuality of language
Topic models to capture latent meanings behind sentences, differences between various probabilistic approaches and deep learning, supervised LDA, Boltzmann machines,Naive Bayes
確率・統計:Probability and Statistics Introduction to models of language (probabilistic unigram models and Bayesian probability)
Natural language processing as it applies to digital transformation (DX), artificial intelligence (AI), machine learning, etc. Modeling of natural language, application of unigram models and Bayesian probabilistic models.
セマンテックウェブ技術:Semantic web Technology Strategies in similarity matching methods (7) Improved alignment disambiguation
Alignment disambiguation for optimization of natural language simirality and ontology matching for digital transformation (DX) and artificial intelligence (AI) applications
セマンテックウェブ技術:Semantic web Technology Strategies in similarity matching methods (6) Alignment extraction approach
Optimization and alignment extraction for natural language simirality and ontology matching for digital transformation (DX) and artificial intelligence (AI) applications
セマンテックウェブ技術:Semantic web Technology Strategies in similarity matching methods (5) Tuning approaches
Digital transformation (DX), similarity of natural language for artificial intelligence (AI), tuning by machine learning for ontology matching, stacked generalization, genetic algorithms