Finally, organizational processes evolved by becoming less, not more, routine with experience. Executives mindfully created levels of abstraction in relevant heuristics rather than mindlessly repeating the same ones. As striking, they often kept rules purposefully simple rather than making them increasingly...
Learning from experience involves three distinct components—generating behavior, assigning credit, and modifying behavior. We discuss these components in the context of learning search heuristics, along with the types of learning that can occur. We then focus on SAGE, a system that improves its sear...
This paper collates some of the experience of managers, tutors, and learners who have used live, audio-visual communication systems for distance learning. Eight heuristics are abstracted from this experience and used to reason about how digital communications could make one such system more effective...
The Impact of Experience and Heuristics on Everyday Decisions to Use Mobility Devices: The Need for Control in Nine African-American Older Adults Nine African-American older adults participated in this ualitative research study to examine decision making and problem-solving related to current and pot...
By treating the query selection procedure as a regression problem we are not restricted to dealing with existing AL heuristics; instead, we learn strategies based on experience from previous active learning experiments. We show that LAL can be learnt from a simple artificial 2D dataset and yields ...
Learning heuristics without expert experience to construct solutions automatically has always been a critical challenge of combinatorial optimization. It i... Q Wang,Y He,C Tang - 《Neural Computing & Applications》 被引量: 0发表: 2023年 Evaluation of Loss Function for Stable Policy Learning in ...
PURPOSE. To compare the use of mental representations (heuristics) in diagnostic reasoning of expert (5 years' experience) and novice (<5 years' experienc... CG Ferrario - 《International Journal of Nursing Terminologies & Classifications》 被引量: 26发表: 2010年 Effectiveness of Critical Thinking...
Considering traditional methods rely on local heuristics and predefined score functions, Zhu et al. [145] propose to use reinforcement learning to search DAG for causal discovery. Taking observational data as an input, they use RL agents as a search strategy and output the causal graph generated ...
Finally, from a hands-on experience from several ongoing medicinal chemistry projects at Novartis, MolSkill is currently being applied in several routine tasks. Specifically, in an era where machine-learning methods can design tens of thousands of compounds, or technologies such as high-throughput sc...
Book recommendations from HackerNews 🏙Design for Non-Designers Articles : 10 Usability Heuristics Every Designer Should Know Visibility of System Status The Match Between The System And The Real World Every system should have a clear emergency exit Don't forget that people spend 90% of their ...