Cellulosics alone won't solve hypoxia problems

What Problems Must Criminalistics Solve

Learning to Solve Constraint Problems

This paper explains why learning to solve constraint problems is so difficult, and describes a set of methods that has been effective on a broad variety of problem classes. The primary focus is on learning an effective search algorithm as a weighted subset of ordering heuristics. Experiments show the impact of several novel techniques on a variety of problems. When a planning problem is cast as...

Switche May Solve Adjacency Problems

This paper presents a new method for defining grid-point adjacencies, called the switch approach. It is discussed how it relates to connectedness definition in multi-valued images. The paper illustrates how the method can be used, and provides a few experimental data illustrating the relevance and simplicity of the approach. 1 Center for Image Technology and Robotics Tamaki Campus, The Universi...

Using MOLP based procedures to solve DEA problems

Data envelopment analysis (DEA) is a technique used to evaluate the relative efficiency of comparable decision making units (DMUs) with multiple input-output. It computes a scalar measure of efficiency and discriminates between efficient and inefficient DMUs. It can also provide reference units for inefficient DMUs without consideration of the decision makers’ (DMs) preferences. In this paper, ...

A Neural Network Model to Solve DEA Problems

The paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets.