We may or may not delve into all 16; again I value the authenticity of faculty to determine what they need.Many faculty individually read Brookfield's (1995) Becoming a Criti- cally Reflective Teacher and have incorporated Critical Incident Question- naires (CIQ) into their classes and ...
Both elegant and tractable, this dyad-centric view of social support evokes classic theoretical models of cooperation as a “Prisoner’s Dilemma” within a void consisting only of ego (i) and alter (j)17. Yet it also belies the fact that aid relationships (i.e., who helps who) constitute...
skfolio- Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models. Investing algorithm framework- Framework for developing, backtesting, and deploying automated trading algorithm...
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine.NIPS 2018 Key: probabilistic ensembles with trajectory sampling ExpEnv:cartpole,mujoco When to Trust Your Model: Model-Based Policy Optimization ...
Monitoring global biodiversity from space through remotely sensing geospatial patterns has high potential to add to our knowledge acquired by field observation. Although a framework of essential biodiversity variables (EBVs) is emerging for monitoring biodiversity, its poor alignment with remote sensing pro...
of possible flow keys that are of interest before measurement starts, and in query time, we can extract the information of any key in that range. We design CocoSketch, which casts arbitrary partial key queries to the subset sum estimation problem and makes the theoretical tools for subset sum...
Global matching models have provided an important theoretical framework for recognition memory. Key predictions of this class of models are that (1) increa... B Oliver,JMG Vromen,AC Boddy,... - 《Memory & Cognition》 被引量: 3发表: 2018年 Context and Category Information in Children and ...
Theoretical Analysis of Adversarial Learning: A Minimax Approach Controlling Neural Level Sets Weakly Supervised Learning Gated CRF Loss for Weakly Supervised Semantic Image Segmentation Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior ...
Over the following weeks you will also learn the components and criteria of the theoretical framework and operationalization, research strategies, and the collection and analysis of quantitative and qualitative data. You will be provided with the necessary tools to understand and evaluate these key ...
3.Comments on Shan and Walter: ‘Towards A Set of Design Principles for Executive Compensation Contracts Authors:Stacey Beaumont; Raluca Ratiu; David Reeb Year:2016 4.Review of Recent Research on Improving Earnings forecasts and Evaluating Accounting-Based Estimates of The Expected Rate of Return on...