1215 search results - page 108 / 243 » Dimensions of machine learning in design |
AI
2011
Springer
13 years 24 days ago
2011
Springer
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
JUCS
2008
13 years 9 months ago
2008
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
MP
2011
13 years 4 months ago
2011
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
SPIESR
2003
13 years 10 months ago
2003
In western art music, composers communicate their work to performers via a standard notation which specificies the musical pitches and relative timings of notes. This notation ma...
OTM
2004
Springer
14 years 2 months ago
2004
Springer
Currently, a number of distributed software systems development tools exist, but typically they are designed either to satisfy industrial standards – industrial perspective – o...