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Titlebook: Nordic Artificial Intelligence Research and Development; Third Symposium of t Kerstin Bach,Massimiliano Ruocco Conference proceedings 2019

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41#
發(fā)表于 2025-3-28 16:24:09 | 只看該作者
42#
發(fā)表于 2025-3-28 21:02:45 | 只看該作者
Xiaokang Zhang,Inge Jonasseno beat them into submission. My formal training in computational science is nil, which I suspect is true of 90 percent of the scientists and engineers in the world. In this book, I attempt to bring together in one place the very basic facts that every technical person should know about computers. Th
43#
發(fā)表于 2025-3-29 02:25:34 | 只看該作者
44#
發(fā)表于 2025-3-29 03:45:35 | 只看該作者
Johan Phan,Massimiliano Ruocco,Francesco Scibiliao beat them into submission. My formal training in computational science is nil, which I suspect is true of 90 percent of the scientists and engineers in the world. In this book, I attempt to bring together in one place the very basic facts that every technical person should know about computers. Th
45#
發(fā)表于 2025-3-29 10:54:25 | 只看該作者
Anders Braarud Hanssen,Stefano Nicheleo beat them into submission. My formal training in computational science is nil, which I suspect is true of 90 percent of the scientists and engineers in the world. In this book, I attempt to bring together in one place the very basic facts that every technical person should know about computers. Th
46#
發(fā)表于 2025-3-29 11:57:14 | 只看該作者
47#
發(fā)表于 2025-3-29 16:32:07 | 只看該作者
parallel languages possess certain software qualities as well, which justifies their use in higher level programming and specification closer to the algorithm domain. Thus, it is interesting to study how the data parallel paradigm can be best realized in a declarative setting, since declarative lan
48#
發(fā)表于 2025-3-29 22:43:18 | 只看該作者
49#
發(fā)表于 2025-3-30 02:06:10 | 只看該作者
Activity Recognition and Prediction in Real Homese present our field trial and set-up for collecting and storing the data, our methods, and our current results. We compare the accuracy of predicting the next binary sensor event using probabilistic methods and Long Short-Term Memory (LSTM) networks, include the time information to improve predictio
50#
發(fā)表于 2025-3-30 05:08:07 | 只看該作者
Self-adapting Goals Allow Transfer of Predictive Models to New Tasksroblems in a world with the same underlying rules. One reason this is difficult is the challenge of learning accurate models of an environment. If such a model is inaccurate, the agent’s plans and actions will likely be sub-optimal, and likely lead to the wrong outcomes. Recent progress in model-bas
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