Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...
We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
MiBoard (Multiplayer Interactive Board Game) is an online, turnbased board game that was developed to assess the integration of game characteristics (point rewards, game-like inte...
This study examines the linguistic features of freewrites and how those features relate to human scores of freewrite quality. Freewriting is a common prewriting strategy that has ...
Jennifer L. Weston, Scott A. Crossley, Danielle S....
Most researchers agree that there is a continuum between well-definedness and ill-definedness. However, positioning a specific problem within this continuum is not always easy. To...
A novel `play-by-play' based procedure learning system has been successfully applied to automate Web tasks. In the transition to a non-Web domain, for a system widely used at...
Nate Blaylock, William de Beaumont, Lucian Galescu...
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
Andreya Piplica, Alexandra Olivier, Allison Petros...
Object search in a visual scene is a highly challenging and computationally intensive task. Most of the current object detection techniques extract features from images for classi...
The MAPLE Game Playing System is a web application and website that allows students to design and program game playing agents using the Python programming language. The system pro...
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs assessed for each node. Its complexity is generally expon...