نتایج جستجو برای: related learning problems
تعداد نتایج: 2180374 فیلتر نتایج به سال:
this talk will introduce the idea that talent development is related to learning where learning is the physiological process of neuro-plastic changes in the brain. to develop talents, individuals must move from novice or beginner’s status to expertise levels of knowledge or skills in a particular domain. learning depends on maximizing an individual’s potential through the experiences he or she ...
Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to...
abstract while task-based instruction is considered as the most effective way to learn a language in the related literature, it is oversimplified on various grounds. different variables may affect how students are engaged with not only the language but also with the task itself. the present study was conducted to investigate language and task related engagement on the basis of the task typolog...
in present competitive business environment, learning organization is an important competitive advantage. along the time with its changes, cause the organization has to pay more attention to learning for improving their quality process more than the past. these changes has affected on different organizations, such as conservation environment organization (ceo). according to the monitoring role ...
This paper focuses on Active Learning (AL) with bounded computational resources. AL is formalized as a finite horizon Reinforcement Learning problem, and tackled as a single-player game. An approximate optimal AL strategy based on tree-structured multi-armed bandit algorithms and billiard-based sampling is presented together with a proof of principle of the approach. Motsclés : Apprentissage ac...
Sparsity and Nullity: Paradigm for Analysis Dictionary Learning Report Title Sparse models in dictionary learning have been successfully applied in a wide variety of machine learning and computer vision problems, and have also recently emerged with increasing research interest. Another interesting related problem based on linear equality constraint, namely the sparse null space problem (SNS), f...
this exploratory study aimed to investigate a possible relationship between learners’ beliefs about language learning and one of their personality traits; that is,locus of control (loc). both variables, beliefs and locus of control, are assumed to influence the language learning process. the internal control index (ici) and the beliefs about language learning inventory (balli) were administered...
A model of learning from positive and negative examples in concept lattices is considered. Latticeand graph-theoretic interpretations of learning concept-based classi0cation rules (called hypotheses) and classi0cation in this model are given. The problems of counting all formal concepts, all hypotheses, and all minimal hypotheses are shown to be #P-complete. NP-completeness of some decision pro...
People are increasingly relying on the Web and social media to find solutions to their problems in a wide range of domains. In this online setting, closely related problems often lead to the same characteristic learning pattern, in which people sharing these problems visit related pieces of information, perform almost identical queries or, more generally, take a series of similar actions. In th...
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