9 citations · 12 across the 9 of their papers we have counts for
9 papers
Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over Adaptive Networks
Soheil Ashkezari-Toussi, Hadi sadoghi-Yazdi
The present study proposes incorporating non-parametric knowledge into the diffusion least-mean-squares algorithm in the framework of a maximum a posteriori (MAP) estimation. The p…
RELF: Robust Regression Extended with Ensemble Loss Function
Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi
Ensemble techniques are powerful approaches that combine several weak learners to build a stronger one. As a meta-learning framework, ensemble techniques can easily be applied to m…
ISNA-Set: A novel English Corpus of Iran NEWS
Mohammad Kamel, Hadi Sadoghi-Yazdi
News agencies publish news on their websites all over the world. Moreover, creating novel corpuses is necessary to bring natural processing to new domains. Textual processing of on…
Sentimental Content Analysis and Knowledge Extraction from News Articles
Mohammad Kamel, Neda Keyvani, Hadi Sadoghi Yazdi
In web era, since technology has revolutionized mankind life, plenty of data and information are published on the Internet each day. For instance, news agencies publish news on the…
Fuzzy Constraints Linear Discriminant Analysis
Hamid Reza Hassanzadeh, Hadi Sadoghi Yazdi, Abedin Vahedian
In this paper we introduce a fuzzy constraint linear discriminant analysis (FC-LDA). The FC-LDA tries to minimize misclassification error based on modified perceptron criterion tha…
Active Robust Learning
Hossein Ghafarian, Hadi Sadoghi Yazdi
In many practical applications of learning algorithms, unlabeled data is cheap and abundant whereas labeled data is expensive. Active learning algorithms developed to achieve bette…
Outlier absorbing based on a Bayesian approach
Parsa Bagherzadeh, Hadi Sadoghi Yazdi
The presence of outliers is prevalent in machine learning applications and may produce misleading results. In this paper a new method for dealing with outliers and anomal samples i…
Comment on "robustness and regularization of support vector machines" by H. Xu, et al., (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009, arXiv:0803.3490)
Yahya Forghani, Hadi Sadoghi Yazdi
This paper comments on the published work dealing with robustness and regularization of support vector machines (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009)…
Designing Kernel Scheme for Classifiers Fusion
Mehdi Salkhordeh Haghighi, Hadi Sadoghi Yazdi, Abedin Vahedian +1
In this paper, we propose a special fusion method for combining ensembles of base classifiers utilizing new neural networks in order to improve overall efficiency of classification…