Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu

İnsan öğrenmesi artımlıdır(tüm bilgiler tek seferde verilmez) ve basit örneklerle başlar. Eğitim sistemlerimiz bu hipotez üzerine kurulmuştur. Önce temel / basit konular kavratılır, ardından zor konulara geçilir. Makinelerin öğrenmesini amaçlayan yapay öğrenme alanında da bu hipotez kullanılarak planlı öğrenme (curriculum learning) ve türevleri geliştirilmiştir. Planlı öğrenme iteratif eğitime sahip algoritmalarda eğitim örneklerinin sürece hangi sırada dahil edileceği sorusuna cevap arar. Bu projenin de temel araştırma sorusu budur. Bu kapsamda yenilikçi planlı öğrenme yöntemlerinin geliştirilmesi, yapay örnek üretim yöntemlerinin geliştirilmesi, yapay örnek içeren veri kümeleri için planlı öğrenme yöntemlerinin geliştirilmesi, YSA?lar harici algoritmalar için planlı öğrenmenin etkisinin incelenmesi, geliştirilen algoritmaların dağıtık öğrenme ile gerçeklenmesi ve geliştirilen algoritmaların teorik analizlerinin yapılması konularında çalışmalar metin veri kümeleri üzerinde başarı ile yürütülmüştür. Proje çıktısı olan yöntem, yazılım ve yayınlara https://github.com/projectSOTS/ adresinden erişilebilir.

Anahtar Kelime: Planlı Öğrenme Derin Öğrenme Yapay Sinir Ağları Yapay Örnek Üretimi Sinirsel Dil Modelleri

Sort Optimization of Training Samples in Machine Learning

Öz:

Human learning is incremental (not all information is given at once) and starts with simple examples. Our education systems are built on this hypothesis. First, basic / simple subjects are taught, then difficult subjects are passed. Curriculum learning and its derivatives have been developed by using this hypothesis in the field of machine learning. In algorithms with iterative training, curriculum learning seeks to answer the question in which order the training samples will be included in the training process. This is the main research question of this project. The topics studied in this context are as follows: the development of innovative curriculum learning methods, the development of data augmentation methods, the development of curriculum learning methods for augmented datasets, the examination of the effect of curriculum learning for algorithms other than ANNs, the implementation of the developed algorithms with distributed learning and the theoretical analysis of the developed algorithms. Text datasets were used for validation of the proposed methods. The proposed methods, software and publications can be accessed at https://github.com/projectSOTS/.

Anahtar Kelime: Planlı Öğrenme Derin Öğrenme Yapay Sinir Ağları Yapay Örnek Üretimi Sinirsel Dil Modelleri

Erişim Türü: Erişime Açık

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APA	Amasyali F, ALİYEV R, ÜNAL B, KOPARAN I, TANYEL T, aktaş a, ALKURDİ B, GÜNDOĞ B, DEDEOĞLU E, BACAK T, CEBECİ Ö, KESGİN H, UÇAR T, KOÇ İ, ŞAHİN F (2023). Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. , 0 - 127. 120E100
Chicago	Amasyali Fatih,ALİYEV RAMEŞ,ÜNAL BAHATTİN CİHAN,KOPARAN IŞIL BERFİN,TANYEL TOYGAR,aktaş abdulsamet,ALKURDİ BESHER,GÜNDOĞ BUĞRA HAMZA,DEDEOĞLU ENES,BACAK TALHA,CEBECİ ÖMER FARUK,KESGİN HİMMET TOPRAK,UÇAR TOLGA RECEP,KOÇ İPEK,ŞAHİN Feyza Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. (2023): 0 - 127. 120E100
MLA	Amasyali Fatih,ALİYEV RAMEŞ,ÜNAL BAHATTİN CİHAN,KOPARAN IŞIL BERFİN,TANYEL TOYGAR,aktaş abdulsamet,ALKURDİ BESHER,GÜNDOĞ BUĞRA HAMZA,DEDEOĞLU ENES,BACAK TALHA,CEBECİ ÖMER FARUK,KESGİN HİMMET TOPRAK,UÇAR TOLGA RECEP,KOÇ İPEK,ŞAHİN Feyza Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. , 2023, ss.0 - 127. 120E100
AMA	Amasyali F,ALİYEV R,ÜNAL B,KOPARAN I,TANYEL T,aktaş a,ALKURDİ B,GÜNDOĞ B,DEDEOĞLU E,BACAK T,CEBECİ Ö,KESGİN H,UÇAR T,KOÇ İ,ŞAHİN F Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. . 2023; 0 - 127. 120E100
Vancouver	Amasyali F,ALİYEV R,ÜNAL B,KOPARAN I,TANYEL T,aktaş a,ALKURDİ B,GÜNDOĞ B,DEDEOĞLU E,BACAK T,CEBECİ Ö,KESGİN H,UÇAR T,KOÇ İ,ŞAHİN F Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. . 2023; 0 - 127. 120E100
IEEE	Amasyali F,ALİYEV R,ÜNAL B,KOPARAN I,TANYEL T,aktaş a,ALKURDİ B,GÜNDOĞ B,DEDEOĞLU E,BACAK T,CEBECİ Ö,KESGİN H,UÇAR T,KOÇ İ,ŞAHİN F "Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu." , ss.0 - 127, 2023. 120E100
ISNAD	Amasyali, Fatih vd. "Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu". (2023), 0-127. https://doi.org/120E100

APA	Amasyali F, ALİYEV R, ÜNAL B, KOPARAN I, TANYEL T, aktaş a, ALKURDİ B, GÜNDOĞ B, DEDEOĞLU E, BACAK T, CEBECİ Ö, KESGİN H, UÇAR T, KOÇ İ, ŞAHİN F (2023). Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. , 0 - 127. 120E100
Chicago	Amasyali Fatih,ALİYEV RAMEŞ,ÜNAL BAHATTİN CİHAN,KOPARAN IŞIL BERFİN,TANYEL TOYGAR,aktaş abdulsamet,ALKURDİ BESHER,GÜNDOĞ BUĞRA HAMZA,DEDEOĞLU ENES,BACAK TALHA,CEBECİ ÖMER FARUK,KESGİN HİMMET TOPRAK,UÇAR TOLGA RECEP,KOÇ İPEK,ŞAHİN Feyza Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. (2023): 0 - 127. 120E100
MLA	Amasyali Fatih,ALİYEV RAMEŞ,ÜNAL BAHATTİN CİHAN,KOPARAN IŞIL BERFİN,TANYEL TOYGAR,aktaş abdulsamet,ALKURDİ BESHER,GÜNDOĞ BUĞRA HAMZA,DEDEOĞLU ENES,BACAK TALHA,CEBECİ ÖMER FARUK,KESGİN HİMMET TOPRAK,UÇAR TOLGA RECEP,KOÇ İPEK,ŞAHİN Feyza Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. , 2023, ss.0 - 127. 120E100
AMA	Amasyali F,ALİYEV R,ÜNAL B,KOPARAN I,TANYEL T,aktaş a,ALKURDİ B,GÜNDOĞ B,DEDEOĞLU E,BACAK T,CEBECİ Ö,KESGİN H,UÇAR T,KOÇ İ,ŞAHİN F Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. . 2023; 0 - 127. 120E100
Vancouver	Amasyali F,ALİYEV R,ÜNAL B,KOPARAN I,TANYEL T,aktaş a,ALKURDİ B,GÜNDOĞ B,DEDEOĞLU E,BACAK T,CEBECİ Ö,KESGİN H,UÇAR T,KOÇ İ,ŞAHİN F Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu. . 2023; 0 - 127. 120E100
IEEE	Amasyali F,ALİYEV R,ÜNAL B,KOPARAN I,TANYEL T,aktaş a,ALKURDİ B,GÜNDOĞ B,DEDEOĞLU E,BACAK T,CEBECİ Ö,KESGİN H,UÇAR T,KOÇ İ,ŞAHİN F "Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu." , ss.0 - 127, 2023. 120E100
ISNAD	Amasyali, Fatih vd. "Yapay Öğrenmede Eğitim Örneklerini Sıralama Optimizasyonu". (2023), 0-127. https://doi.org/120E100