Task Performance and AnalysisGalvanic Skin Responseunavailable]doi:10.1002/1097-4679(197207)28:3+<328::AID-JCLP2270280305>3.0.CO;2-Vladimir PishkinSteven FishkinMonte L. StahlJohn Wiley & Sons, Ltd.Journal of Clinical PsychologyPishkin V, Fishkin S, Stahl M: Concept learning in chronic ...
Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine towards accomplishing the task of interest. The system leverages big data to find examples that maximize the training...
Here, we propose a sequence-to-drug concept for computational drug design based on protein sequence information by end-to-end differentiable learning. We validate this concept in three stages. First, we design TransformerCPI2.0 as a core tool for the concept, which demonstrates generalization ...
We perform an experimental evaluation on several generative tasks, namely summarization and a new task of summary expansion. Finally, we show that our model exhibits impressive zero-shot generalization performance to many languages, outperforming existing LLMs of the same size. The training code of ...
The field of explainable artificial intelligence (XAI) aims to bring transparency to today’s powerful but opaque deep learning models. While local XAI methods explain individual predictions in the form of attribution maps, thereby identifying ‘where’
Intelligent Teaching-Learning SystemsThe use of pedagogical methods with the technologies of the information and communications produce a new quality that favors the task of generating, transmitting and sharing knowledge. Such is the case of the pedagogical effect that produces the use of the Concept ...
Moreover, we also propose a hierarchical concept learning structure for modeling and learning abstract concepts to which the sample pertains. Our method’s direct applicability is to solve the classification task in the case of a few training samples (only 10% samples as the training set). In ...
interest may depend on some hidden context, not given explicitly in the form of predictive features. A typical example is weather prediction rules that may vary radically with the season. […] Often the cause of change is hidden, not known a priori, making the learning task more complicated....
in active learning process. Reading and understanding are carried at home, and the class-time is utilized for higher levels of learning like analyzing, evaluating, and application of the basic information. This review article is aimed to guide the educators in applying the concept of flipped ...
(2002)presented an exhaustive explanation to the robotic mapping concept. In the related literature, two main frameworks have been proposed in order to carry out this task: the metric maps, which represent the environment withgeometric accuracy; and the topological maps which describe the environment...