Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
The ancient Egyptian temple of Kalabsha dates back to 30 BC. In 1963 the temple was dismantled and moved to a new site in order to save it from the rising waters of the Lake Nasse...
Veronica Sundstedt, Alan Chalmers, Philippe Martin...
In this paper we present a macroscopic model for the analysis of homogeneous task-directed multi-robot systems (MRS). The model is used to compute the probability that a given MRS ...
Sound is an important medium in our lives, but its ephemeral nature can be problematic when people cannot recall something they heard in the past. Motivated by everyday conversatio...
Gillian R. Hayes, Shwetak N. Patel, Khai N. Truong...