Why are Buchi automata factorially succinct when compared to Rabin Automata? Computer Science |
- Why are Buchi automata factorially succinct when compared to Rabin Automata?
- I am a bit confused about using word embeddings
- What is the difference between weighted and unweighted arcs in a Petri net?
- What do you believe is the next big thing in Computer Science / Business Tech?
| Why are Buchi automata factorially succinct when compared to Rabin Automata? Posted: 25 Apr 2018 06:51 PM PDT |
| I am a bit confused about using word embeddings Posted: 25 Apr 2018 06:16 PM PDT I want to predict the next word after three and want to use Facebook word vectors for that but I am confused about the model. All the neural language models I saw say to train the model but I am not sure how to train it just with embeddings. It sounds like I have to get a gigantic text and train the model for each word window of three. Can't I train and use a neural language model just with word vectors? Do I have to have a text as well? [link] [comments]  |
| What is the difference between weighted and unweighted arcs in a Petri net? Posted: 25 Apr 2018 04:10 AM PDT I can't exactly find anything on the internet to answer this question that I'm try to answer on a past paper. I understand Petri nets, just not the arc weighting. The entire question is: Explain the difference between weighted and unweighted arcs in a Petri net. Give a simple example to illustrate your answer. [link] [comments]  |
| What do you believe is the next big thing in Computer Science / Business Tech? Posted: 25 Apr 2018 11:30 AM PDT My guess would be Industry 4.0, but would love to hear if anyone has any different opinions. [link] [comments]  |
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