نتایج جستجو برای: hybrid learning approach

تعداد نتایج: 1927369  

2008
Linh Hoang Seung-Wook Lee Gumwon Hong Joo-Young Lee Hae-Chang Rim

This paper presents an approach for the Opinion Finding task at TREC 2008 Blog Track. For the Ad-hoc Retrieval subtask, we adopt language model to retrieve relevant documents. For the Opinion Retrieval subtask, we propose a hybrid model of lexicon-based approach and machine learning approach for estimating and ranking the opinionated documents. For the Polarized Opinion Retrieval subtask, we em...

Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and optimization technique has been vastly concentrated for improving fuzzy expert systems. In this paper, the GA...

Journal: :CoRR 2015
Xiujun Li Lihong Li Jianfeng Gao Xiaodong He Jianshu Chen Li Deng Ji He

Successful applications of reinforcement learning in real-world problems often require dealing with partially observable states. It is in general very challenging to construct and infer hidden states as they often depend on the agent’s entire interaction history and may require substantial domain knowledge. In this work, we investigate a deep-learning approach to learning the representation of ...

Journal: :IEEE Access 2021

Driven by recent technological advancements within the field of artificial intelligence (AI), deep learning (DL) has been emerged as a promising representation technique across different machine (ML) classes, especially reinforcement (RL) arena. This new direction given rise to evolution domain named (DRL) that combines high representational capabilities DL with existing RL methods. Performance...

2002
Malcolm Ross Kinsella Ryan Claude Sammut

In this thesis we investigate the relationships between the symbolic and subsymbolic methods used for controlling agents by artificial intelligence, focusing in particular on methods that learn. In light of the strengths and weaknesses of each approach, we propose a hybridisation of symbolic and subsymbolic methods to capitalise on the best features of each. We implement such a hybrid system, c...

Journal: :Revista Brasileira de Computação Aplicada 2018

Journal: :Sensors 2023

Defective wheels pose a significant challenge in railway transportation, impacting operational performance and safety. Excessive traction braking forces give rise to deviations from the intended conical tread shape, resulting amplified vibrations noise. Moreover, these contribute accelerated damage of track components. Detecting wheel defects at an early stage is crucial ensure safe comfortable...

Journal: :Journal of Information Technology in Construction 2022

The UK commissions about £100 billion in infrastructure construction works every year. More than 50% of them finish later planned, causing damage to the interests stakeholders. estimation time-risk on projects is currently done subjectively, largely by experience despite there are many existing techniques available analyse risk schedules. Unlike conventional methods that tend depend accurate bo...

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2021

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