One of the least studied areas of Information Foraging Theory
is diet: the information foragers choose to seek. For
example, do foragers choose solely based on cost, or do
they stubbornly pursue certain diets regardless of cost? Do
their debugging strategies vary with their diets? To investigate
"what" and "how"...
Summary: Four proposed metrics:
[1] average relative reduction in training time (sample size, number of training experiences)
[2] jumpstart (initial advantage of transfer algorithm)
[3] handicap (how long it takes the no-transfer algorithm to overcome the jumpstart)
[4] asymptotic advantage (how much better the transfer learning algorithm does in the...
The potential for machine learning systems to improve via a mutually beneficial exchange of information with users has yet to be explored in much detail. Previously, we found that users were willing to provide a generous amount of rich feedback to machine learning systems, and that the types of some...
Although machine learning is becoming commonly used in today's software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple "right/wrong" judgments. If the users themselves could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved...
Existing topology-based vector field analysis techniques rely on the ability to extract the individual trajectories such as fixed points, periodic orbits and separatrices which are sensitive to noise and errors introduced by simulation and interpolation. This can make such vector field analysis unsuitable for rigorous interpretations. We advocate the use...
This paper addresses the problem of interactively modeling large street networks. We introduce a modeling framework that uses tensor fields to guide the generation of a street graph. A user can interactively edit a street graph by either modifying the underlying tensor field or by changing the graph directly. This...
Vector field analysis plays a crucial role in many engineering applications, such as weather prediction, tsunami and hurricane study, and airplane and automotive design. Existing vector field analysis techniques focus on individual trajectories such as fixed points, periodic orbits and separatrices which are sensitive to noise and errors introduced by...
Fluid simulation on interacting deformable surfaces is a challenging problem that has many applications. In this paper, we present a framework in which artistic as well as physically realistic flows can be generated on surfaces during deformation and collision. Our simulation system provides comprehensive control over the motion and deformation...
If basic assumptions about how knowledge workers conceptualize and use work units are wrong, then any solutions resting on those assumptions are unlikely to be successful since, instead of decreasing costs, they will lead to increasing them. This paper reports on how knowledge workers understand, use and switch between units...