
How Many Words and How Much Word is In a Question and Answers ?
How Many Words and How Much Word is In a Question and Answers ? – Answer Set Programming has been one of the most developed and influential methods for generating answers. This paper proposes a new method to solve the task of solving a set of logical questions by solving the logical problem. The problem […]

Multilevel object recognition with distributed residual descriptors
Multilevel object recognition with distributed residual descriptors – This paper deals with a novel objectrelated neural network (NN) architecture for imagebased collaborative filtering. In this design, the network includes the three elements of a discriminative model for each object category and a discriminative model for the image categories, which can generate a generic map which […]

The Power of Zero
The Power of Zero – We show that, in a variety of domains, the entropy of a function is one of two kinds. The true entropy of a function is, in turn, correlated to the real amount of energy the function has. Our main result is that an exponential function is a function of more […]

Determining the optimal scoring path using evolutionary process predictions
Determining the optimal scoring path using evolutionary process predictions – In this paper, we propose a new algorithm for the solution of an approximate Markov Decision Process (MDP) by leveraging the concept of nonmonotonic knowledge, which is a property of nonmonotonic systems. We propose a novel method (in the form of the Expectation Maximization Regulator) […]

Learning time, recurrence, and retention in recurrent neural networks
Learning time, recurrence, and retention in recurrent neural networks – In many applications, the task of finding the next most frequent element in a sequence of atoms can be viewed as a natural optimization problem. We show that the task can be expressed in terms of a learning scheme that considers three types of atoms […]

Using Fuzzy Logit Ratings to Predict Stock Price
Using Fuzzy Logit Ratings to Predict Stock Price – We propose new and effective techniques for evaluating the quality of a stock portfolio using a fuzzy logic of value. By focusing on the quality of the portfolio using fuzzy logic of value, we show that the value of a stock is influenced by the cost […]

Covariance matrices for graph Laplacian features
Covariance matrices for graph Laplacian features – An important aspect of neural inference is its ability to handle complex networks. In this work, we investigate the possibility to extend this framework with a new type of factorizationbased feature learning (FML) in which a new dimension is associated with each node. We show that FML is […]

A Novel Feature Selection Method Based On Bayesian Network Approach for Image Segmentation
A Novel Feature Selection Method Based On Bayesian Network Approach for Image Segmentation – We present a novel algorithm based on the observation that a sparse mixture of image sequences is a better fit than a multilinear mixture, which is an existing popular image classification method. Our algorithm first uses the image data as a […]

Identifying the most relevant regions in largescale radiocarbon age assessment
Identifying the most relevant regions in largescale radiocarbon age assessment – Reconstructing the past is important for many applications, such as diagnosis, prediction and monitoring. This work presents an endtoend algorithm for the estimation of radiocarbon age. The algorithm consists of three major steps: (1) a regressionbased representation of the past and a sparsevalued representation […]

MultiOriented Speech Recognition for Speech and Written Arabic Alphabet
MultiOriented Speech Recognition for Speech and Written Arabic Alphabet – The proposed algorithm, based on the principle of linear programming, is a natural choice for neural networks. The implementation of the algorithm is based on a convolutional neural network (CNN) trained to handle the complex temporal dependencies. The CNN is then trained through a neural […]