16 search results - page 3 / 4 » Memory bounded inference in topic models |
ALT
2008
Springer
14 years 4 months ago
2008
Springer
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
ISHPC
1999
Springer
13 years 12 months ago
1999
Springer
Superscalar microprocessor efficiency is generally not as high as anticipated. In fact, sustained utilization below thirty percent of peak is not uncommon, even for fully optimized...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
The effective reasoning capability of an agent can be defined as its capability to infer, within a given space and time bound, facts that are logical consequences of its knowledge...
DMSN
2009
ACM
14 years 2 months ago
2009
ACM
Networked, distributed real world sensing is an increasingly prominent topic in computing and has quickly expanded from resource constrained “sensor networks” measuring simple...