Participants performed a simple one-dimensional categorization task in a brief supervised learning phase, then made a large number of unsupervised categorization decisions about new items. In all three experiments, the unsupervised experience altered participants' implicit and explicit mental category ...
Here we propose a methodology for using a deep learning model to analyse a cognitive decision making process. The same scheme can be applied to other scientific problems. One way of modelling a given process is by fitting a machine learning model to the data it produces. Ideally, we would ...
投影—— to a number : represents how much they're pointing in the same direction 表示向量指向同一方向的程度(相似度的度量) the projection of one of those onto the other 在数学中,数量积(dot product; scalar product,也称为点积)是接受在实数R上的两个向量并返回一个实数值标量的二元运算。 它是...
DeepSeek Math, as you might guess, is an AI system designed to solve complex mathematical problems. It is based on a large language model or LLMs that has been trained on a massive dataset of mathematical text and code. Beside the above research areas, DeepSeek start up is also working...
(2018) for the classification of optical coherence tomography images. However, these approaches cannot generalize easily to new imaging modalities or new decision problems, such as DR progression prediction (Arcadu et al., 2019), since relevant patterns are not fully known to ophthalmologists. ...
..." from the target so that the the model has produced its complete prediction. For desired output is only the label text). This allows text problems, the individual sequence elements yi us to explore a "semi-supervised" setting where we or xi are often characters, words, or (in our ...
While there is evidence that sensory processing and multisensory integration change with age, links between these alterations and their relation to cognitive status remain unclear. In this study, we assessed sensory thresholds and performance of healthy
Table 5:Top-1% self-supervisedAcc(↑) forMNIST, FashionMNIST, CIFAR10, andCelebA(gender classification) using a linear probe (LP) and Gaussian Mixture Model (GMM) classification methods; We reportmeanand standard errors over three runs; Bold indicate best scores in each method class: generative...
This study investigated the utility of supervised machine learning (SML) and explainable artificial intelligence (AI) techniques for modeling and understanding human decision-making during multiagent task performance. Long short-term memory (LSTM) networks were trained to predict the target selection ...