Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Ethem Alpaydin"'
Autor:
Ethem Alpaydin, Ozan Irsoy
Publikováno v:
Neurocomputing. 419:148-156
Dropout is a very effective method in preventing overfitting and has become the go-to regularizer for multi-layer neural networks in recent years. Hierarchical mixture of experts is a hierarchically gated model that defines a soft decision tree where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::877c040f26902931b5f633980904fe43
https://doi.org/10.1016/j.neucom.2020.08.052
https://doi.org/10.1016/j.neucom.2020.08.052
Autor:
Ethem Alpaydin
Different automatic visual recognition tasks have different complexities. One of the simplest is the reading of barcodes where information is represented in terms of lines of different widths, which are shapes that are easy to recognize. The barcode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5975b03f803cb836815261c5a7d7aeb0
https://doi.org/10.7551/mitpress/13811.001.0001
https://doi.org/10.7551/mitpress/13811.001.0001
Autor:
Ethem Alpaydin
Maschinelles Lernen ist die künstliche Generierung von Wissen aus Erfahrung. Dieses Buch diskutiert Methoden aus den Bereichen Statistik, Mustererkennung und kombiniert die unterschiedlichen Ansätze, um effiziente Lösungen zu finden. Diese Auflage
Autor:
Ethem Alpaydin
MIT presents a concise primer on machine learning—computer programs that learn from data and the basis of applications like voice recognition and driverless cars. No in-depth knowledge of math or programming required! Today, machine learning under
Autor:
Ozan Irsoy, Ethem Alpaydin
Publikováno v:
Neurocomputing. 258:63-73
The autoencoder is a popular neural network model that learns hidden representations of unlabeled data. Typically, single- or multilayer perceptrons are used in constructing an autoencoder, but we use soft decision trees (i.e., hierarchical mixture o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62ef518d311b90e5ca8c628f61e59dd1
https://doi.org/10.1016/j.neucom.2017.02.075
https://doi.org/10.1016/j.neucom.2017.02.075
Autor:
Alper Ahmetoglu, Ethem Alpaydin
Publikováno v:
ICPR
Generative adversarial networks (GANs) are deep neural networks that allow us to sample from an arbitrary probability distribution without explicitly estimating the distribution. There is a generator that takes a latent vector as input and transforms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e88d278ecd7be953ffcdb8f3cc612b4
http://arxiv.org/abs/1911.02069
http://arxiv.org/abs/1911.02069
Autor:
Ethem Alpaydin, Enes Burak Dündar
Publikováno v:
SIU
We test different word embedding methods in Turkish. The goal is to represent related words in a high dimensional space such that their positions reflect this relationship. We compare word2vec, fastText, and ELMo on three Turkish corpora of different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fe90571a3873b077de2ed8a13858d04
https://doi.org/10.1109/siu.2019.8806491
https://doi.org/10.1109/siu.2019.8806491
Autor:
Ethem Alpaydin
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a
Autor:
Ethem Alpaydin
Das maschinelle Lernen ist zwangsläufig eines der am schnellsten wachsenden Gebiete der Computerwissenschaft. Nicht nur die zu verarbeitenden Datenmengen werden immer umfangreicher, sondern auch die Theorie, wie man sie verarbeiten und in Wissen ver