نتایج جستجو برای: focused tasks

تعداد نتایج: 350483  

2008
Gabriella Kazai Antoine Doucet Monica Landoni

Motivated by the plethora of book digitization projects around the world, the Initiative for the Evaluation of XML Retrieval (INEX) launched a Book Search track in 2007. The track focused on Information Retrieval (IR) tasks, exploring the utility of traditional and structured document retrieval techniques to books. In this paper, we propose four new tasks to be investigated at the Book Search t...

Journal: :Microelectronics Reliability 2015
Andriy Lotnyk D. Poppitz U. Ross J. W. Gerlach F. Frost S. Bernütz E. Thelander B. Rauschenbach

2014
Bruno Laranjeira Viviane Pereira Moreira Aline Villavicencio Carlos Ramisch Maria José Bocorny Finatto

Comparable corpora have been used as an alternative for parallel corpora as resources for computational tasks that involve domainspecific natural language processing. One way to gather documents related to a specific topic of interest is to traverse a portion of the web graph in a targeted way, using focused crawling algorithms. In this paper, we compare several focused crawling algorithms usin...

2015
Aaron Block William Kelley

In this paper, we develop an adaptive scheduling algorithm for changing the processor shares of tasks on realtime multiprocessor systems where tasks are assigned to clusters of processors. Additionally, we implement this adaptive algorithm as a LITMUS plugin. Our focus is on adaptive systems that are deployed in environments in which tasks may frequently require significant share changes. Prior...

Journal: :AI Commun. 2000
Christophe G. Giraud-Carrier

Historically, inductive machine learning has focused on nonincremental learning tasks, i.e., where the training set can be constructed a priori and learning stops once this set has been duly processed. There are, however, a number of areas, such as agents, where learning tasks are incremental. This paper defines the notion of incrementality for learning tasks and algorithms. It then provides so...

Journal: :international journal of foreign language teaching and research 0
mehrdad eskandari department of english, college of humanities, bandarabbas branch, islamic azad university, bandarabbas, iran sedigheh abbasnasab department of english, college of humanities, bandarabbas branch, islamic azad university, bandarabbas, iran

abstract this study was an attempt to investigate the effect of collaborative form-focused activities on grammar learning of elementary efl learners. to this end, 58 adult male iranian efl learners at elementary level of proficiency in three classes of language institutes were chosen. they formed the three groups of the study. the grammar section of cambridge michigan placement test was used to...

2003
Ah Chung Tsoi Daniele Frosali Marco Gori Markus Hagenbuchner Franco Scarselli

Self-regulation of learning has been extensively investigated in second language (L2) learning. Many studies have focused on the strategies that language learners employ to regulate their own learning processes. However, motivational self-regulation is considerably less explored. The aim of this study was to investigate the relationship between motivational self-regulatory strategies (MSRSs) an...

This study focused on the effect of transcribing task, as a noticing activity, on EFL learners’ grammatical accuracy. For 20 sessions, oral discussion tasks were assigned to 2 intermediate adult EFL classrooms, with 1 class serving as the control group and the other as the experimental group. For this purpose, the learners were divided into groups of 3 or 4 in each class. Learners in both group...

Ahmad Ghanbari Sayyed Mohammad Reza Sayyed Noorani Yasaman Vaghei,

In recent years, researches on reinforcement learning (RL) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. Neural network reinforcement learning (NNRL) is among the most popular algorithms in the RL framework. The advantage of using neural networks enables the RL to search for optimal policies more efficiently in several real-life applicat...

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