4930 search results - page 28 / 986 » Learning minimal abstractions |
111
Voted
PERCOM
2007
ACM
16 years 1 days ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
71
Voted
ALT
2000
Springer
15 years 9 months ago
2000
Springer
Abstract. We consider the problem of efficient approximate learning by multilayered feedforward circuits subject to two objective functions. First, we consider the objective to ma...
97
Voted
IVA
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Several challenges remain in the effort to build software capable of conducting realtime dialogue with people. Part of the problem has been a lack of realtime flexibili...
99
Voted
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
107
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FLAIRS
2004
15 years 1 months ago
2004
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...