Sciweavers

618 search results - page 52 / 124
» What We Can Learn about Business Modeling from Homeostasis
Sort
View
141
Voted
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 7 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
IJCV
2011
264views more  IJCV 2011»
15 years 1 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ABIALS
2008
Springer
16 years 1 months ago
Anticipative Control of Voluntary Action: Towards a Computational Model
Abstract. Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from ex...
Pascal Haazebroek, Bernhard Hommel
TOOLS
2000
IEEE
15 years 10 months ago
Applying the Lessons of eXtreme Programming
Although eXtreme Programming has been explained by Kent Beck[1], there are many benefits to adopting eXtreme Programming (XP) practices in other development processes. The benefit...
Pete McBreen
BMCBI
2010
140views more  BMCBI 2010»
15 years 4 months ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu