Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Learning to Change – Changing to Learn
Date
2017-04-23
Author
Seferoğlu, Gölge
Metadata
Show full item record
Item Usage Stats
32
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/76957
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Learning to Teach: Turkish EFL Learners’ Narratives on Professional Development
Gürbüz, Nurdan (2015-08-02)
Learning to Increment A Contextual Model
Kalkan, Sinan; Doğan, Fethiye Irmak; Bozcan, İlker (2018-12-07)
In this paper, we summarized our efforts on incremental construction of latent variables in context (topic) models. With our models, an agent can incrementally learn a representation of critical contextual information. We demonstrated that a learning-based formulation outperforms rule-based models, and generalizes well across many settings and to real data
Learning to teach in the national curriculum context
Haser, Çiğdem (Informa UK Limited, 2010-01-01)
Learning to teach is a difficult and challenging process for beginning teachers in the national curriculum contexts due to several pressures that the centralised system presents for school and classroom contexts. This study investigated the difficulties beginning middle school mathematics teachers faced in the Turkish national curriculum context without any structured beginning teacher support through the experiences of six beginning teachers. They were interviewed after their first year teaching and after ...
Learning to play an imperfect information card game using reinforcement learning
Alpaslan, Ferda Nur; Baykal, Ömer; Demirdöver, Buğra Kaan (2022-08-01)
Artificial intelligence and machine learning are widely popular in many areas. One of the most popular ones is gaming. Games are perfect testbeds for machine learning and artificial intelligence with various scenarios and types. This study aims to develop a self-learning intelligent agent to play the Hearts game. Hearts is one of the most popular trick-taking card games around the world. It is an imperfect information card game. In addition to having a huge state space, Hearts offers many extra challenges d...
Learning to play an imperfect information card game using reinforcement learning
Alpaslan, Ferda Nur; Baykal, Ömer; Demirdöver, Buğra Kaan (2022-08-01)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. Seferoğlu, “Learning to Change – Changing to Learn,” 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/76957.