Concept Learning with Energy-based Models
نویسنده
چکیده
Many hallmarks of human intelligence, such as generalizing from limited experience, abstract reasoning and planning, analogical reasoning, creative problem solving, and capacity for language and explanation are still lacking in the artificial intelligent agents. We, as others (Rosch et al. (1976); Lakoff & Johnson (1980); Lake et al. (2016)) believe what enables these abilities is the capacity to consolidate experience into concepts, which act as basic building blocks of understanding and reasoning.
منابع مشابه
Comparison of Seismic Input Energy Based on the Characteristics of Structural Hysteretic Behavior
The variation of earthquake input energy with characteristics of various structural systems, particularly in hysteretic states, has not been studied to such extent that creates enough con-fidence for proposing energy-based design criteria. In this paper, at first, based on a somehow new insight into the concept of earthquake input energy, two concepts of ‘Received Energy’ (ERec) and ‘Returned E...
متن کاملDetecting Concept Drift in Data Stream Using Semi-Supervised Classification
Data stream is a sequence of data generated from various information sources at a high speed and high volume. Classifying data streams faces the three challenges of unlimited length, online processing, and concept drift. In related research, to meet the challenge of unlimited stream length, commonly the stream is divided into fixed size windows or gradual forgetting is used. Concept drift refer...
متن کاملEfficient Method Based on Combination of Deep Learning Models for Sentiment Analysis of Text
People's opinions about a specific concept are considered as one of the most important textual data that are available on the web. However, finding and monitoring web pages containing these comments and extracting valuable information from them is very difficult. In this regard, developing automatic sentiment analysis systems that can extract opinions and express their intellectual process has ...
متن کاملRedefine of Education and its Components Based on the Phenomenological Concept of Identity
The concept of identity is one of the most crucial issues of human society. One of the areas in which the concept of identity has been strongly discussed, is education. In each period, affected by the terms and textural characteristics of societies and eras, identity has found special concept.The authors attempt to redefine education and its components, based on the phenomenological concep...
متن کاملThermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning
Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...
متن کاملThermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning
Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...
متن کامل