Domain adaptation is a powerful technique given a wide amount of labeled data from similar attributes in different domains. In real-world applications, there is a huge number of data but almost more of them are unlabeled. It is effective in image classification where it is expensive and time-consuming to obtain adequate label data. We propose a novel method named DALRRL, which consists of deep ...

climate change impacts are seen within growing numbers of cities in low- and middle-income countries, so there is growing interest in the adaptation and mitigation plans and programs put forward by city authorities. this paper aims to provide a better understanding of the constraints which cities face them in this subject by analyzing the case of tehran. city has a commitment to decentralizatio...

This paper proposes an importance weighted adversarial nets-based method for unsupervised domain adaptation, specific for partial domain adaptation where the target domain has less number of classes compared to the source domain. Previous domain adaptation methods generally assume the identical label spaces, such that reducing the distribution divergence leads to feasible knowledge transfer. Ho...

Introduction: Campus life tends to make social and academic demands on college students. To cope with these demands, students are required to use their neurocognitive skills of problem- solving and planning intentional actions that target towards adaptation to college. This paper presents an illuminating perspective that would inform understanding of a new approach to cognitive neuroscience. Th...

Unsupervised Domain Adaptation (UDA) aims to classify unlabeled target domain by transferring knowledge from labeled source with shift. Most of the existing UDA methods try mitigate adverse impact induced shift via reducing discrepancy. However, such approaches easily suffer a notorious mode collapse issue due lack labels in domain. Naturally, one effective ways this is reliably estimate pseudo...

this paper aims at describing the mechanism of german loanwords adaptation with respect to constraints of persian language and within ot framework. consequently the adaptation of consonant clusters and diphthongs as well as the phonemes substituted in loanwords will be examined. prince and smolensky’s (1993) optimality theory with its key notions of faithfulness and markedness constraints is su...