Q-Learning for Shift-Reduce Parsing in Indonesian Tree-LSTM-Based Text Generation by Hastuti, Rochana Prih, Suyanto, Yohanes, Sari, Anny Kartika

“…Tree-LSTM algorithm accommodates tree structure processing to extract information outside the linear sequence pattern. …”

Laporan penelitian respon semai mangium (Acacia mangium willd) terhadap pemberian pupuk NPK dan progress micro by Shidieq, Dja'far, Raharjo, Dwi, Winarni, Widaryanti Wahyu, Atmanto, Winastuti Dwi

Subjects: “…Tree Nutrition and Physiology…”
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Laporan penelitian kebutuhan nitrogen dan fosfor untuk tembuhan semai acacia mangium by Marsono, Djoko

Subjects: “…Tree Nutrition and Physiology…”
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Laporan penelitian kadar rosin pada tunggak pohon pinus merkusii di beberapa tempat di Jawa by Soeparno

Subjects: “…Tree Nutrition and Physiology…”
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Accounting for Rehabilitation Activity Uncertainty in a Pavement Life Cycle Assessment using Probability and Decision Tree Analysis by Mack, James W., Xu, Xin, Gregory, Jeremy, Kirchain, Randolph

“…A case study based on alternative designs and rehabilitation scenarios used by a SHA demonstrates the decision tree analysis process and shows how the risk profiles for the two alternatives considered are not equivalent. …”
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Laporan penelitian pengaruh kandungan kayu tekan terhadap kualitas pulpsoda kayu pinus merkusii jungh et de vriese by Soenardi, Soenardi, Soeparno, Soeparno, Prayitno, TA

Subjects: “…Tree Improvement (Selection and Breeding)…”
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Laporan penelitian korelasi antara kualitas tempat tumbuh persaingan tajuk, dan pertumbuhan jati by Thojib, Atmojo

Subjects: “…Tree Improvement (Selection and Breeding)…”
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Laporan penelitian hubungan fungsional antara masyarakat desa dengan hutan sebagai petunjuk adanya kerusakan hutan dan usaha mengatasinya by Radite, Djoko Suharno

Subjects: “…Tree Improvement (Selection and Breeding)…”
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Laporan penelitian interprestasi, prakiraan dan alternatif pengembangan kelas hutan jati by Radite, Djoko Suharno Radite

Subjects: “…Tree Improvement (Selection and Breeding)…”
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Laporan penelitian pengujian berbagai macam tanaman kayu bakar di Daerah Istimewa Yogyakarta guna usaha peningkatan hasil reboisasi dan penghijauan by Edris, Ibrahim

Subjects: “…Tree Improvement (Selection and Breeding)…”
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Laporan penelitian pengaruh inokulasi mycorrhiza terhadap ketahanan dan pertumbuhan anakan pinus merkusii Jung et de vriese by Kuswanto

Subjects: “…Tree Improvement (Selection and Breeding)…”
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Data Mining untuk Menemukan Pola Pegetahuan Konseling Psikologi by Mulyana, Sri, Hartati, Sri, Wardoyo, Retantyo, Winarko, Edi

“…Proses tersebut menggunakan bantuan softwere Rapidminer 4.0 dengan metode decision tree dan rule learner method. Hasil proses data mining dengan decision tree menunjukan bahwa data memusat pada jenis tindakan ass,karena sebagian besar record (196 record) memiliki jenis tindakan ass (asistensi) walaupun antenseden pegetahuan yang berupa aturan aturan sebanyak 15 aturan pada percobaan ke-1, 28 aturan pada percobaan ke-2 dan 10 aturan pada percobaan ke -3 Kata Kunci: Data Minang,Knowledge Discovery,Case Based Reasoning,decision tree,rule learner…”
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Oversampling Approach Using Radius-SMOTE for Imbalance Electroencephalography Datasets by Wardoyo, Retantyo, Wirawan, I Made Agus, Pradipta, I Gede Angga

“…The classification process in this study compares two classification methods, namely the Decision Tree method and the Convolutional Neural Network method. …”
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Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images by Pradipta, Gede A., Wardoyo, Retantyo, Musdholifah, Aina, Sanjaya, I Nyoman H.

“…Machine learning method observations were carried out comprehensively on five based classifiers: Random Forest, KNN, Decision tree, SVM, Na¨ıve Bayes, and Multiclassifier. The results showed that the Random forest and Multiclassifier methods provide the highest accuracy, precision, recall, and F-measure performance in imbalanced data sets.…”
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Proposed development of Nusajaya Boulevard in Nusajaya Central Planning Area by Mustafa, Mohd Khairi, Said, Ismail

“…For daily activities, people can enjoy the view of water while resting at the staged area under the shade trees. The hardscape elements such as lighting pole, seating and tree grating is designed in Johor’s motifs including gambier, black pepper and Kuda kepang. …”
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LDSVM: Leukemia Cancer Classification Using Machine Learning by Karim, Abdul, Azhari, Azhari, Shahroz, Mobeen, Belhaouri, Samir Brahim, Mustofa, Khabib

“…Machine learning algorithms such as decision tree (DT), naive bayes (NB), random forest (RF), gradient boosting machine (GBM), linear regression (LinR), support vector machine (SVM), and novel approach based on the combination of Logistic Regression (LR), DT and SVM named as ensemble LDSVM model. …”
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"Would You Be Willing to Wait?": Consumer Preference for Green Last Mile Home Deliver by Fu, Andrew Jessie, Saito, Mina

“…Moreover, information on trees saved is the most effective at incentivizing consumers to wait longer, regardless of education, occupation or socioeconomic status. …”
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A Forecasting Face-Off for Oil and Gas Spare Parts by Serry, Mahmood, Vasa, James

“…The time series forecast was then fed as features along with judgmental forecast and the demand parameters into two different machine learning algorithms, namely Classification and Regression Trees (CART) and Random Forests. Both models showed more than 75% improvement in accuracy over conventional demand forecasting methods when measured by Root Mean Squared Error. …”
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Increasing Resilience Through Advanced Analytics in a Pharmaceutical Company by Chen, Danning, Anzola, Valentina

“…For this analysis, the research team implemented decision trees and random forest in two different datasets from 2019 and 2020 to draw conclusions about what influenced the company’s ability to fulfill orders under a normal state and a disruptive state, as a measure of resilience. …”
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Forecasting Seasonal Footwear Demand Using Machine Learning by Kharfan, Majd, Chan, Vicky Wing Kei

“…Clustering and classification were used under the three-step model to identify look-alike products. Regression trees, random forests, k-nearest neighbors, linear regression and neural networks were used in building the prediction models. …”
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