منابع مشابه
The Power of Reflective Relational Machines
A model of database programming with reeection, called reeective relational machine is introduced and studied. The reeection consists here of dynamic generation of queries in a host programming language. The main results characterize the power of the machine in terms of known complexity classes. In particular, the PTIME restriction of the machine is shown to express PSPACE, and to correspond pr...
متن کاملDeep Relational Machines
Deep learning methods that comprise a new class of learning algorithms give state-of-the-art performance. We propose a novel methodology to learn deep architectures and refer to it as a deep relational machine (DRM). A DRM learns the first layer of representation by inducing first order Horn clauses and the successive layers are generated by utilizing restricted Boltzmann machines. It is charac...
متن کاملRelational Similarity Machines
This paper proposes Relational Similarity Machines (RSM): a fast, accurate, and flexible relational learning framework for supervised and semi-supervised learning tasks. Despite the importance of relational learning, most existing methods are hard to adapt to different settings, due to issues with efficiency, scalability, accuracy, and flexibility for handling a wide variety of classification p...
متن کاملComputing with relational machines
Mathematical Structures in Computer Science / FirstView Article / July 2015, pp 1 20 DOI: 10.1017/S0960129515000390, Published online: 15 July 2015 Link to this article: http://journals.cambridge.org/abstract_S0960129515000390 How to cite this article: GÉRARD HUET and BENOÎT RAZET Computing with relational machines. Mathematical Structures in Computer Science, Available on CJO 2015 doi:10.1017/...
متن کاملScaling Factorization Machines to Relational Data
The most common approach in predictive modeling is to describe cases with feature vectors (aka design matrix). Many machine learning methods such as linear regression or support vector machines rely on this representation. However, when the underlying data has strong relational patterns, especially relations with high cardinality, the design matrix can get very large which can make learning and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information and Computation
سال: 1998
ISSN: 0890-5401
DOI: 10.1006/inco.1998.2701