a learning algorithm can be thought of as searching through the space of hypotheses for a hypothesis function that works well on the training set, and also on new examples that it hasn’t seen yet to ...

Machine learning algorithms are influenced differently based ... of the data have influences the number and types of parameters used to characterize the hypothesis function ...

hypothesis generation remains largely informal. We propose a systematic procedure to generate novel hypotheses about human behavior, which uses the capacity of machine learning algorithms to notice ...

Abstract: With the rapid proliferation of Machine ... Learning (DL) based decision systems, properly characterizing their often unpredictable performance is a key challenge. In this work we introduce ...

From the results of the statistical analysis, our study indicated a correlation between low serum albumin levels and decreased cognitive function in the group aged 65 and older. We investigated ...