836 search results - page 161 / 168 » On the Complexity of Train Assignment Problems |
122
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SIGIR
2009
ACM
15 years 7 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
214
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EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
15 years 5 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
120
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ITS
2000
Springer
15 years 4 months ago
2000
Springer
With the rise of VR, the internet, and mobile technologies and the shifts in educational focus from teaching to learning and from solitary to collaborative work, it's easy (bu...
101
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AAAI
2008
15 years 3 months ago
2008
In artificial intelligence and pervasive computing research, inferring users' high-level goals from activity sequences is an important task. A major challenge in goal recogni...
110
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IJIT
2004
15 years 2 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...