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» IT alignment: what have we learned
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IJDMMM
2008
87views more  IJDMMM 2008»
13 years 7 months ago
Is an ordinal class structure useful in classifier learning?
In recent years, a number of machine learning algorithms have been developed for the problem of ordinal classification. These algorithms try to exploit, in one way or the other, t...
Jens C. Huhn, Eyke Hüllermeier
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 11 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
BMCBI
2011
13 years 2 months ago
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
Jesse Eickholt, Xin Deng, Jianlin Cheng
ICCV
2001
IEEE
14 years 9 months ago
Caustics of Catadioptric Cameras
Conventional vision systems and algorithms assume the camera to have a single viewpoint. However, sensors need not always maintain a single viewpoint. For instance, an incorrectly...
Rahul Swaminathan, Michael D. Grossberg, Shree K. ...
SIGUCCS
2003
ACM
14 years 27 days ago
Being Sam Malone: customer service on a campus where "Everybody Knows Your Name"
Working on a small campus has many advantages: Familiarity with the majority of faculty and staff, in-depth knowledge of how systems interact, adding the personal touch to each in...
Mark Watts