機器學習
Overview
| Works: | 97 works in 75 publications in 75 languages | |
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Titles
應用隨機森林預測高雄市房價 = = Applying random forests to predict the housing price in Kaohsiung City /
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以機器學習強化棋類遊戲 = = Optimize program strength on board games using machine learning /
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以深度式強化式學習增強迷你將棋程式的棋力 = = Use deep reinforcement learning to enhance the power of a minishogi program /
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基於機器學習之H.266/VVC快速編碼演算法 = = Fast coding algorithm based on machine learning for H.266/VVC /
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機器學習於生理指數之應用 = = The application of machine learning by physiological indice /
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結合技術指標及特徵擷取方法於比特幣價格預測之研究 = = Combining technical indicators and feature selection methods to predict Bitcoin price /
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Python機器學習超進化 : = AI影像辨識跨界應用實戰 = Machine learning evolution with Python /
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以物流需求重現性為基礎探討偏鄉物流輸配送管理之應用 = = Exploring the application of logistics distribution management in rural areas based on logistics demand recurrences /
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偏鄉客貨共載願付價格之研究 : = 以花蓮縣為例 = Willingness-to-pay of integrated passengers and freight transportation service in rural area - case studies in Hualien County /
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人工智慧開發第一步. = First step to artificial intelligent development-hardware installation and configuration /. 硬體建置篇
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單變量時序資料異常檢測模型比較 = = Comparing model performance for univariate time-series data anomaly detection /
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基於機器學習分析高端疫苗新聞內容之媒體報導風格 = = Analyzing the media reporting style of medigen COVID-19 vaccine news content based on machine learning /
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無人機適性化飛行路徑與充電機制 = = An adaptive flight path and charging mechanism for unmanned aerial vehicles /
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應用深度與機器學習方法分析偏鄉復康巴士需求預約重現性 : = 以花蓮縣為例 = Incorporating deep and machine learning approaches to analyze demand recurrence patterns of rehabilitation transportation service in rural area /
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應用YOLO於煙囪排放煙霧與水蒸氣辨識之研究 = = Research on the application of YOLO in the chimney smoke and steam detection /
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LangChain開發手冊 : = OpenAI × LCEL表達式Agent自動化流程.RAG擴展模型知識 圖形資料庫.LangSmith除錯工具 /
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應用線性支持向量分類器進行文本分類之研究 : = 以原住民族知識體系為例 =A study on applying linear support vector classification for text classification : a case of indigenous knowledge systems /
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一個以決策樹為基礎的三階段監督式學習垃圾郵件過濾架構 = = A three-phase supervised learning spam filtering architecture base on decision tree /
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一個基於分析電子郵件結構特徵有效的SPAM過濾機制 = = An Effective Spam Filtering Mechanism based on Analyzing E-mail Structure Features /
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一個以分析超連結為基礎且具備遞增式學習能力的郵件過濾器 = = A Mail Filter with the Ability of Incremental-Learningbased on URL Analyzing /
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卷積神經網路及長短期記憶模型應用於外匯分析 = = Application of Convolutional Neural Network and Long Short-Term Memory to Forex Analysis /
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機器學習於體適能程度之預測= Machine Learning for the Prediction of Physical Fitness Levels /
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使用技術指標預測比特幣價格之研究 = = The prediction of Bitcoin price based on technical indicators /
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以機器學習方法分析財務報表操控之研究 = = Analyzing financial statement manipulation by using machine learning /
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外匯趨勢預測 = = A moving average approach to predicting forex market price trends with machine learning /
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Kaggle競賽 : = 預測分子性質 = Kaggling predicting molecular properties competition /
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電動車之路徑和充電規劃與壅塞控制 = = Route and charging planning and congestion control of electric vehicles /
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基於Word2vec的學術論文推薦系統 = = Research paper recommender system based on Word2vec algorithm /
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應用支援向量機選股 : = 台灣股市的實證研究 = Stock selection using support vector machine : An empirical study of Taiwanese stock market /
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基於Muzero演算法的黑白棋程式 = = An othello program based on Muzero algorithm /
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應用機器學習於大台北地區不動產之估價 = = The valuation of selling price of real estate in Taipei metro area with machine learning /
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應用波形特徵曲線擬合與機器學習於中醫脈象分類 = = Application of waveform characteristic curve fitting and machine learning in the classification of pulse diagnosis in traditional Chinese medicine /
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偵測憂鬱傾向者情緒狀態 : = 以機器學習分析PTT電子佈告欄文章 = Detection of mood state of people with depression : analyzing PTT bulletin board system articles by machine learning /
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基於視覺感知之H.266/VVC畫面內編碼快速演算法 = = Fast H.266/VVC intra coding algorithm based on visual perception /
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使用基於Twitter評論之情感分析以預測NBA後起之秀 = = Using sentimental analysis to predict NBA rising star based on Twitter data /
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辨識惡意彈出式之廣告 : = 使用隨機森林演算法 = Identify malicious pop up ads:using random forest algorithm /
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使用隨機森林預測台灣上市櫃公司之企業信用風險評等 = = Using random forest to predict Taiwan credit risk index of public owned corporation /
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基於機器學習的多因子量化選股策略 : = 臺灣股票市場中的神經網路與集成學習應用 =Multi-factor quantitative Stock selection strategy based on machine learning : applications of neural networks and ensemble learning in the Taiwan stock market /
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使用梯度下降矩陣分解法和基於內容屬性特徵之音樂推薦 = = Music recommendation using gradient descent matrix factorization and content-based feature approach /
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短軸視圖心臟異常神經網路分類模型的設計與開發 = = Design and development of neural network classification model for heart abnormalities in short axis view /
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卷積神經網路模型於台灣市場股價預測之研究 = = Convolutional neural network model for stock price prediction in the Taiwanese market /
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以LSSVM模型進行迴歸分析之模型比較 : = 房價預測 =Model comparison for regression analysis by using the LSSVM approach : house price prediction /
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探討新聞情緒對於不同產業指數的漲跌預測 : = 基於機器學習與深度學習 =Investigating the impact of news sentiment on the forecasting of stock indexes for different industries : a machine learning and deep learning approach /
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應用機器學習方法探討糖尿病危險因子的辨識與高風險族群預測 = = Exploring the identification of diabetes risk factors and prediction of high-risk populations using machine learning methods /
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使用BERT進行轉換數據集提高訓練品質和相關應用 = = Enhancing training quality and application through dataset transformation using BERT /
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基於機器學習分析社群文章憂鬱傾向 : = 以Dcard為例 =Analyzing social media posts for depression tendencies based on machine learning /
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