We describe an innovative record matching system called ChoiceMaker 2 we developed at ChoiceMaker Technologies (CMT). Firstly, we describe the process by which we use a machine learning technique known as maximum entropy modeling to tune the system to the problem at hand. Secondly, we describe the ClueMakerTM programming language that is used to describe record matching characteristics. Thirdly...

Multicommodity distribution problem is one of the most interesting and useful models in mathematical programming due to its major role in distribution networks. The purpose of this paper is to describe and solve a special class of multicommodity distribution problems in which shipment of a commodity from a plant to a customer would go through different distribution centers. The problem is t...

In this paper, we first develop the concept of the maximum entropy function for equilibrium programming by employing prior distribution information and Kullback entropy. It plays a key role in entropy function method for solving equilibrium programming. After analyze and discuss the relation with the model transformation equivalent applied in mixed traffic assignment problems, and finally we gi...

We study the entropy rate of a hidden Markov process, defined by observing the output of a symmetric channel whose input is a first order Markov process. Although this definition is very simple, obtaining the exact amount of entropy rate in calculation is an open problem. We introduce some probability matrices based on Markov chain's and channel's parameters. Then, we try to obtain an estimate ...

We present a maximum entropy approach to topic sensitive language modeling. By classifying the training data into di erent parts according to topic, extracting topic sensitive unigram features, and combining these new features with conventional N-grams in language modeling, we build a topic sensitive bigram model. This model improves both perplexity and word error rate. keywords: maximum entrop...

Multicommodity distribution problem is one of the most interesting and useful models in mathematical programming due to its major role in distribution networks. The purpose of this paper is to describe and solve a special class of multicommodity distribution problems in which shipment of a commodity from a plant to a customer would go through different distribution centers. The problem is t...

The efficiency of transportation system management plays an important role in the planning and operation efficiency of flexible manufacturing systems. Automated Guided Vehicles (AGV) are part of diversified and advanced techniques in the field of material transportation which have many applications today and act as an intermediary between operating and storage equipment and are routed and contr...