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تعداد نتایج: 91041 فیلتر نتایج به سال:
scikit-learn is an increasingly popular machine learning library. Written in Python, it is designed to be simple and efficient, accessible to non-experts, and reusable in various contexts. In this paper, we present and discuss our design choices for the application programming interface (API) of the project. In particular, we describe the simple and elegant interface shared by all learning and ...
We consider reservoirs in the form of liquid state machines, i.e., recurrently connected networks spiking neurons with randomly chosen weights. So far only weights a linear readout were adapted for specific task. wondered whether performance machines can be improved if recurrent are purpose, rather than randomly. After all, connections brain also not assumed to chosen. Rather, these probably op...
برای قیامت در قرآن و روایات نام های متفاوتی بیان شده است. هر کدام از این نامها بیانگر بعدی از ابعاد آن روز بوده، و به تنهایی میتواند مسائل بسیاری را در این رابطه بازگو کند. به گفته مرحوم "فیض کاشانی" در زیر هر یک از این نام ها سری نهفته شده، و در هر توصیفی معنای مهمی بیان گشته، باید کوشید تا این معانی را درک کرد، و این اسرار را یافت. کتب و مقالاتی در موضوع نام های قیامت به نگارش درآمده است ک...
We present AdversariaLib, an open-source python library for the security evaluation of machine learning (ML) against carefully-targeted attacks. It supports the implementation of several attacks proposed thus far in the literature of adversarial learning, allows for the evaluation of a wide range of ML algorithms, runs on multiple platforms, and has multiprocessing enabled. The library has a mo...
We present how WHIRL can be modelled as a ProbLog program using ProbLog’s Python interface to execute information retrieval algorithms using standard toolkits such as scikit-learn and the natural language toolkit.
As humans, we can often detect from a person’s utterances if he/she is in favor of or against a given target entity (topic, product, another person, etc). But from the perspective of a computer, we need means to automatically deduce the stance of the tweeter, given just the tweet text. In this paper, we present our results of performing stance detection on twitter data using a supervised approa...
This paper describes methodologies applied and results achieved in the framework of the ESPRIT Basic Research Action B-Learn II (project no. 7274). B-Learn II is one of the rst projects working towards an application of Machine Learning techniques in elds of industrial relevance, which are much more complex than the domains usually treated in ML research. In particular, B-Learn II aims at easin...
This paper describes methodologies applied and results achieved in the framework of the ESPRIT Basic Research Action B-Learn II (project no. 7274). B-Learn II is one of the rst projects working towards an application of Machine Learning techniques in elds of industrial relevance, which are much more complex than the domains usually treated in ML research. In particular, B-Learn II aims at easin...
In recent years, the artificial intelligence community has seen a continuous interest in research aimed at investigating dynamical aspects of both training procedures and machine learning models. Of particular among recurrent neural networks, we have Reservoir Computing (RC) paradigm characterized by conceptual simplicity fast scheme. Yet, guiding principles under which RC operates are only par...
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