SVM-based incremental learning, which can make a user-relevant recognition system quickly adapt to specific users' preference without losing its general performance, is an elegant solution for user adaptation problems in on-line graphics recognition system. Two learning strategies (repetitive learning and incremental learning), two incremental learning algorithms (Syed et al.'s and Xiao et al.'...

In this paper we apply incremental evolution for automatic synthesis of neural network controllers for a group of physically connected mobile robots called s-bots. The robots should be able to safely and cooperatively perform phototaxis in an arena containing holes. We experiment with two approaches to incremental evolution, namely behavioral decomposition and environmental complexity increase....

Previous correlational research shows that childhood adversity is associated with earlier age of reproduction in humans and other species. Such studies, however, cannot show that stressful conditions cause earlier reproduction. Using the cold-pressor task, we built on previous work to test the idea that acute stress influences human reproductive and marital ideals, and that individual stress re...

We have measured the energy efficiency of different memory management strategies on a high performance pocket computer. We conducted our study by measuring the energy consumption of eight C programs with four different memory management strategies each. The memory management strategies are: no deallocation, explicit deallocation, conservative mark-and-sweep garbage collection, and conservative ...

We introduce the Multiagent Agreement Problem (MAP) to represent a class of multiagent scheduling problems. MAP is based on the Distributed Constraint Reasoning (DCR) paradigm and requires agents to choose values for variables to satisfy not only their own constraints, but also equality constraints with other agents. The goal is to represent problems in which agents must agree on scheduling dec...

We have measured the energy efficiency of different memory management strategies on a high performance pocket computer. We conducted our study by measuring the energy consumption of eight C programs with four different memory management strategies each. The memory management strategies are: no deallocation, explicit deallocation, conservative mark-and-sweep garbage collection, and conservative ...