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2017年主动学习大数据国际研讨会（The International Workshop on Active Learning for Big Data）(ALBD-2017)
2017年 主动学习大数据 研讨会
2017/3/28
Active Learning addresses the interaction between Machine Learning/Data Mining algorithms and human feedbacks, reduces the human efforts for manual labelling, avoids data redundancy, and improves the ...
第二届国际主动学习研讨会（2nd International Workshop on Active Learning: Applications, Foundations and Emerging Trends）
第二届国际 主动学习 研讨会
2017/3/21
Science, technology, and commerce increasingly recognize the importance of machine learning approaches for data-intensive, evidence based decision making.
Developing Pharmacy Student Communication Skills through Role-Playing and Active Learning
interprofessional communication role-play pharmacist oral communication skills
2018/8/17
Objective. To evaluate the impact on pharmacy students of a communication course, which used role-playing to develop active-learning skills.
Design. Students role-playing pharmacists in patient care ...
Developing Pharmacy Student Communication Skills through Role-Playing and Active Learning
interprofessional communication role-play pharmacist oral communication skills
2018/8/17
Objective. To evaluate the impact on pharmacy students of a communication course, which used role-playing to develop active-learning skills.
Design. Students role-playing pharmacists in patient care ...
Active Learning through a Debate Series in a First-Year Pharmacy Self-Care Course
pharmacy self-care debate active learning instructional design
2018/8/14
Objective. To evaluate the usefulness of formal debates in the pharmacy classroom as a way to learn course material and as a tool for developing competency in essential skills including critical think...
Limited Labels for Unlimited Data: Active Learning for Speaker Recognition
speaker recognition i-vectors active learning
2014/11/27
In this paper, we attempt to quantify the amount of labeled data necessary to build a state-of-the-art speaker recognition system. We begin by using i-vectors and the cosine similarity metric to repre...
An Active Learning Complementary and Alternative Medicine Session in a Self-Care Therapeutics Class
Complementary and alternative medicine (CAM) active learning, self-care
2018/7/10
Objective. To provide an interactive, non-supplement based complementary and alternative medicine (CAM) session in a self-care therapeutics class and to evaluate the effect of the session on pharmacy ...
Student Knowledge and Confidence in an Elective Clinical Toxicology Course Using Active-Learning Techniques
active learning toxicology elective knowledge confidence
2018/7/5
Objective. To measure changes in students’ knowledge and confidence scores after completing an elective clinical toxicology course in an accelerated doctor of pharmacy (PharmD) program.
Design. Vario...
Correlation Between Active-Learning Coursework and Student Retention of Core Content During Advanced Pharmacy Practice Experiences
pedagogy active learning assessment advanced pharmacy practice experience pharmacotherapy
2018/6/28
Objective. To implement an active-learning approach in a pharmacotherapy course sequence in the second year (P2) and third (P3) year of a doctor of pharmacy (PharmD) program and determine whether the ...
Enhancing Team-Based Active Learning Through Hands-On Experience With Nicotine Replacement Therapy
team-based learning active learning tobacco cessation nicotine gum
2018/6/25
Objectives. To enhance tobacco cessation active-learning in an ambulatory care elective course by adding hands-on experience with nicotine replacement therapy to a team-based learning (TBL) session.
...
Active-Learning Instruction on Emergency Contraception Counseling
pharmacy students active learning emergency contraception
2018/6/22
Objective. To increase pharmacy students’ knowledge of and confidence in counseling patients regarding emergency contraception and to identify any barriers to counseling patients about emergency contr...
Reducing Annotation Effort for Quality Estimation via Active Learning
Reducing Annotation Effort Quality Estimation via Active Learning
2014/3/20
Quality estimation models provide feedback on the quality of machine translated texts. They are usually trained on humanannotated datasets, which are very costly due to its task-specific nature. We in...
Surrogate Losses in Passive and Active Learning
active learning sequential design selective sampling statistical learning theory surrogate loss functions classification
2012/9/19
Active learning is a type of sequential design for supervised machine learning, in which the learning algorithm sequentially requests the labels of selected instances from a large pool of unlabeled da...
Active-Learning Diabetes Simulation in an Advanced Pharmacy Practice Experience to Develop Patient Empathy
diabetes mellitus advanced pharmacy practice experience active learning simulation public health
2018/6/13
Objective. To develop and integrate an active-learning diabetes simulation into an advanced pharmacy practice experience to improve pharmacy students’ empathy toward patients with diabetes mellitus.
...
An Active-Learning Laboratory on Immunizations
immunization active-learning laboratory pharmacy students
2018/6/13
Objective. To implement and evaluate an active-learning laboratory activity to teach pharmacy students about influenza, pneumococcal, and shingles vaccines.
Design. The laboratory session was divided...