Historical maps inform landform cognition in machine learning
نویسندگان
چکیده
منابع مشابه
Machine Learning: A Historical and Methodological Analysis
Machine learning has always been an integral part of artificial intelligcncc, and it.s methodology has evolved in concert, with the major concerns of the field In response to the dificulties of encoding evcrincreasing vohlmes of knowledge in modeln hI syst.ems, many rcsearchers have recently turned their attention to machiuc learning as a means to overcome the knowledge acquisition bottleneck T...
متن کاملActive Learning for Classifying Template Matches in Historical Maps
Historical maps are important sources of information for scholars of various disciplines. Many libraries are digitising their map collections as bitmap images, but for these collections to be most useful, there is a need for searchable metadata. Due to the heterogeneity of the images, metadata are mostly extracted by hand—if at all: many collections are so large that anything more than the most...
متن کاملMachine learning algorithms in air quality modeling
Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...
متن کاملTangible Historical Maps
Territorial shifts are a vital part of a country’s history, mostly caused by wars, uprisings or other political processes. The most commonly used method to teach that matter, is to bring huge pull down maps to class and give verbal explanations while pointing at the map. Those maps are limited to one static image and therefore need a significant amount of imagination on the student’s side. This...
متن کاملConnecting human and machine learning via probabilistic models of cognition
Human performance defines the standard that machine learning systems aspire to in many areas, including learning language. This suggests that studying human cognition may be a good way to develop better learning algorithms, as well as providing basic insights into how the human mind works. However, in order for ideas to flow easily from cognitive science to computer science and vice versa, we n...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Abstracts of the ICA
سال: 2023
ISSN: ['2570-2106']
DOI: https://doi.org/10.5194/ica-abs-6-10-2023