نتایج جستجو برای: web reinforcement

تعداد نتایج: 258367  

2007
Julia Stoyanovich Srikanta J. Bedathur Klaus Berberich Gerhard Weikum

This paper pursues the recently emerging paradigm of searching for entities that are embedded in Web pages. We utilize informationextraction techniques to identify entity candidates in documents, map them onto entries in a richly structured ontology, and derive a generalized data graph that encompasses Web pages, entities, and ontological concepts and relationships. We exploit this combination ...

2017
Nicole Merkle Stefan Zander

Clinical pathways play a crucial role in the rehabilitation process of patients during and after a clinical stay. Posterior to the clinical stay, patients are usually left to their own devices. This fact hampers the adequate treatment of the patient as there is no longer a technical controlling and guiding instance. For this reason, this work describes the current status of the virtual coach, a...

2014
Vivek S. Borkar Adwaitvedant S. Mathkar

Reinforcement learning has gained wide popularity as a technique for simulation-driven approximate dynamic programming. A less known aspect is that the very reasons that make it effective in dynamic programming can also be leveraged for using it for distributed schemes for certain matrix computations involving non-negative matrices. In this spirit, we propose a reinforcement learning algorithm ...

2004
Shen Huang Gui-Rong Xue Benyu Zhang Zheng Chen Yong Yu Wei-Ying Ma

Clustering has been demonstrated as a feasible way to explore the contents of document collection and organize search engine results. For this task, many features of Web page, such as content, anchor text, URL, hyperlink etc, can be exploited and different results can be obtained. We expect to provide a unified and even better result for end users. Some work have studied how to use several type...

2005
Pornthep Rojanavasu Phaitoon Srinil Ouen Pinngern Maarten van Someren

Recommendation system are widely used in e-commerce that is a part of ebusiness. It helps users locate information or products that they would like to make offers. In this paper, we purpose a new web recommendation system based on reinforcement learning, which is different from another system using Q-learning method. By using ε-greedy policy combined with SARSA prediction method, another powerf...

Journal: :international journal of high risk behaviors and addiction 0
marjan alemikhah islamic azad university, torbat-e-jam branch, torbat-e-jam, ir iran farhad faridhosseini psychiatry and behavioral sciences research center, ibn-e-sina hospital, mashhad university of medical sciences, mashhad, ir iran; psychiatry and behavioral sciences research center, ibn-e-sina hospital, mashhad university of medical sciences, mashhad, ir iran. tel: +98-9155115502, fax: +98-5137112723 hassan kordi physical education and sport science department, ferdowsi university, mashhad, ir iran morad rasouli-azad shahid beheshti university of medical science and health services, tehran, ir iran najmeh shahini psychiatry and behavioral sciences research center, student research committee, ibn-e-sina hospital, faculty of medicine, mashhad university of medical sciences, mashhad, ir iran

conclusions the personality patterns of patients dependent on methamphetamines were different from the controls. these people have a high sensitivity to punishment cues, such as being compared in social conditions and a tendency for reinforcement and reward, because of their higher sensitivity in the behavioral inhibition and activation systems. results the methamphetamine dependent group had a...

2016
Hee Tae Chung

Background/Objectives: Even though the required service content or evaluation would be different depending on the circumstances such as the level of risk of cancer, the degree of uncertainty in the information during the treatment stage, etc., hospitals tend to provide a uniform service. Purpose of the research is to suggest an effective healthcare service model for each context. Methods/Statis...

Journal: :Transactions of the Architectural Institute of Japan Summaries of Technical Papers 1966

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