The dual DFA learning problem (extended abstract)

Author(s):  
William W. Cohen
Keyword(s):  
2017 ◽  
Vol 9 (2) ◽  
pp. 99
Author(s):  
St Fatimah Azzahra

ABSTRACTThis research is aimed to know the differences increase critical thinking skills through learning group and individual problem solving in thermochemical material. This research uses a quasi-experimental design with nonequivalent control group design and study sample consisted of 103 students, divided into the first experimental (group problem solving) (35 students), the two group experimental (individual problem solving) (34 students). The collected through pretest-posttest. The analyzed with the Kruskal Wallis test, the results showed that the learning problem solving as a group or individually can improve students’ critical thinking skills. Statistical test there are significant differences in the students critical thinking skills thermochemical material between students who received group and individual problem solving. Critical thinking skills improvement with problem solving individual learning higher compared with group learning problem solving.Keywords: problem solving learning, critical thinking skillsABSTRAKPenelitian ini bertujuan untuk mengetahui perbedaan peningkatan keterampilan berpikir kritis siswa melalui pembelajaran group dan individual problem solving pada materi termokimia. Penelitian ini menggunakan metode quasi experimen dengan desain Nonequivalent Control Group Design dan sampel penelitian ini terdiri dari 103 siswa yang terbagi ke dalam kelompok eksperimen pertama (pembelajaran group problem solving) (35 siswa), kelompok eksperimen kedua (pembelajaran individual problem solving) (34 siswa).Pengumpulan data dilakukan melalui pretest-posttest. Data dianalisis dengan uji Kruskal Wallis Test, hasil penelitian menunjukkan bahwa pembelajaran problem solving secara group maupun secara individual dapat meningkatkan keterampilan berpikir kritis siswa. Data uji statistik, terdapat perbedaan yang signifikan keterampilan berpikir kritis siswa pada materi termokimia antara siswa yang mendapat pembelajaran group problem solving dan individual problem solving. Peningkatan keterampilan berpikir kritis dengan pembelajaran individual problem solving lebih tinggi dibandingkan dengan pembelajaran group problem solving.Kata Kunci: Pembelajaran Problem Solving, Keterampilan Berpikir Kritis


2017 ◽  
Vol 1 (2) ◽  
pp. 225-236
Author(s):  
Andi Susanto ◽  
Sony Ariadi

This reseach is aimed at knowing the students ability in both solving the math problem and connection those who are taught by Problem Based Learning at class VIII of the Junior High school 28 Padang 2017/2018. This research is categorized as quasy Experimental Research, by using Randomized Control Group Only Design. After implementing the Problem Based Leaning, the student was directly given the test as the result showed that the score  of the student who belong to the experimental class in  problem solving recorded as 74,00 while those who were in the control class only refers to 72,30. The test average score on the experimental class in term of math connection ability was 68,73; while in the control class recorded as 62,43. The T- Test showed that T-Table equals to 1,64 with the degree of reliability 95% . This fact reveals that the students’ ability in solving the problem after being taught through Problem Based Learning is higher than in control class with T-count equals to 3,71; while their connection math ability through Problem Based Learning Model in the Experimental Class is higher than control with T-count 2.17.Keywords: Problem Based Learning, problem solving, mathematics connection


2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Zhicong Zhang ◽  
Kaishun Hu ◽  
Shuai Li ◽  
Huiyu Huang ◽  
Shaoyong Zhao

Chip attach is the bottleneck operation in semiconductor assembly. Chip attach scheduling is in nature unrelated parallel machine scheduling considering practical issues, for example, machine-job qualification, sequence-dependant setup times, initial machine status, and engineering time. The major scheduling objective is to minimize the total weighted unsatisfied Target Production Volume in the schedule horizon. To apply Q-learning algorithm, the scheduling problem is converted into reinforcement learning problem by constructing elaborate system state representation, actions, and reward function. We select five heuristics as actions and prove the equivalence of reward function and the scheduling objective function. We also conduct experiments with industrial datasets to compare the Q-learning algorithm, five action heuristics, and Largest Weight First (LWF) heuristics used in industry. Experiment results show that Q-learning is remarkably superior to the six heuristics. Compared with LWF, Q-learning reduces three performance measures, objective function value, unsatisfied Target Production Volume index, and unsatisfied job type index, by considerable amounts of 80.92%, 52.20%, and 31.81%, respectively.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Huaping Guo ◽  
Weimei Zhi ◽  
Hongbing Liu ◽  
Mingliang Xu

In recent years, imbalanced learning problem has attracted more and more attentions from both academia and industry, and the problem is concerned with the performance of learning algorithms in the presence of data with severe class distribution skews. In this paper, we apply the well-known statistical model logistic discrimination to this problem and propose a novel method to improve its performance. To fully consider the class imbalance, we design a new cost function which takes into account the accuracies of both positive class and negative class as well as the precision of positive class. Unlike traditional logistic discrimination, the proposed method learns its parameters by maximizing the proposed cost function. Experimental results show that, compared with other state-of-the-art methods, the proposed one shows significantly better performance on measures of recall,g-mean,f-measure, AUC, and accuracy.


2019 ◽  
Vol 6 (2) ◽  
pp. 169
Author(s):  
Rosniar Rosniar ◽  
Salawati Salawati

The aim of this study was to improve the learning achievement and activities of students through the implementation of the Problem Solving learning method in Mol Concept. This study was conducted by using two cycles of classroom action research. The subject of this research was 25 students of class X-2 MAN Rukoh Banda Aceh. The result of the implementation of learning Problem Solving method showed that there is improvement of student learning achievement from Cycle I to Cycle II. It could be seen from the results of research that showing about 64% of students had passed learning in Cycle I and about 88% in Cycle II. While the observation was conducted, the improvement of learning activities of students amounts 50%. Based the result of this study, it is can be concluded that the implementation of learning Problem Solving method can improve the learning achievement and activities of the student in Mol Concept.


2018 ◽  
Vol 3 (1) ◽  
pp. 49
Author(s):  
Purwanti Widhy Hastuti ◽  
Asri Widowati ◽  
Didik Setyowarno

Tujuan penelitian ini untuk mengetahui strategi implementasi model Problem Based Learning (PBL), meningkatkan problem solving dan sikap curiosity calon guru pada mata kuliah IPA 1. Jenis penelitian ini adalah penelitian tindakan kelas dengan tahap perencanaan, implementasi dan observasi serta refleksi. Penelitian ini dilakukan sebanyak tiga siklus dengan materi yang diajarkan meliputi faktor-faktor yang mempengaruhi pertumbuhan tanaman, pemisahan campuran, dan termoregulasi. Instrumen yang digunakan berupa tes problem solving dan lembar observasi problem solving, curiosity serta keterlaksanaan model PBL. Proses pembelajaran dilakukan sesuai dengan sintaks yang terdapat dalam model PBL. Hasil penelitian menunjukkan keterlaksanaan model PBL sudah baik dengan terlaksananya semua langkah pada siklus 3. Strategi perbaikan yang dilakukan berupa memfokuskan orientasi masalah yang disajikan, membimbing calon guru dalam berbagi tugas dalam kelompok dan mengatur waktu sehingga pembelajaran lebih optimal. Hasil tes menunjukkan peningkatan rerata nilai problem solvingcalon guru dari siklus ke siklus dan di dukung dengan hasil observasi dimana tiap aspek problem solving mencapai kategorisangat baik. Dengan demikian, dapat disimpulkan bahwa penerapan model PBL dapat meningkatkan problem solving dan curiosity calon guru dalam pembelajaran IPA.Kata Kunci: problem based learning, problem solving, curiosity


2020 ◽  
Vol 34 (04) ◽  
pp. 3962-3969
Author(s):  
Evrard Garcelon ◽  
Mohammad Ghavamzadeh ◽  
Alessandro Lazaric ◽  
Matteo Pirotta

In many fields such as digital marketing, healthcare, finance, and robotics, it is common to have a well-tested and reliable baseline policy running in production (e.g., a recommender system). Nonetheless, the baseline policy is often suboptimal. In this case, it is desirable to deploy online learning algorithms (e.g., a multi-armed bandit algorithm) that interact with the system to learn a better/optimal policy under the constraint that during the learning process the performance is almost never worse than the performance of the baseline itself. In this paper, we study the conservative learning problem in the contextual linear bandit setting and introduce a novel algorithm, the Conservative Constrained LinUCB (CLUCB2). We derive regret bounds for CLUCB2 that match existing results and empirically show that it outperforms state-of-the-art conservative bandit algorithms in a number of synthetic and real-world problems. Finally, we consider a more realistic constraint where the performance is verified only at predefined checkpoints (instead of at every step) and show how this relaxed constraint favorably impacts the regret and empirical performance of CLUCB2.


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