557 search results - page 52 / 112 » Learning programs from noisy data |
115
Voted
ITICSE
2010
ACM
15 years 2 months ago
2010
ACM
Teaching wireless sensor networks (WSNs) at the undergraduate level is both challenging and rewarding. WSNs include low-level programming and debugging, power-aware operations, no...
116
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
109
Voted
SIGCSE
1997
ACM
15 years 6 months ago
1997
ACM
A typical Data Structures (CS 2) course covers a wide variety of topics: elementary algorithm analysis; data structures including dynamic structures, trees, tables, graphs, etc.; ...
132
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CORR
2012
Springer
13 years 10 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
131
Voted
ICRA
2010
IEEE
15 years 1 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...