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Expand the `theorems` package with the following models (from [Wikipedia](https://en.wikipedia.org/wiki/Jury_theorem)):
## Correlated votes
- Growing infallibility might not hold if votes are co…
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- show that the validation algorithm terminates
- show that the validation algorithm has a dominant strategy
1. build the derivation
2. honestly self report build times
- determine constants…
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- Support realtime (
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- Abstract (2-3 lines)
Predicting the behaviour of stock market is always an area of interest for researchers. With the advancement in techniques of machine learning and neural networks, it has sta…
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Our use case (for multi-outcome prediction markets) involves multiple homogenous orderbooks 'stacked', where a market instance consist of N prediction contracts (the base assets) traded against a quot…
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#### Related to Book Reading Platform
- Show different viewpoints of the topic under study
- Browser plugin for quick reference populations, i.e., get bibtex from google scholar, and get refernces…
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Agents are placing multiple bets in the same market (see `prediction_prophet_gpt4` and markets below) in ~ 10% of cases.
```
market 1 0x4d59a12a2ddff82436f185d8268b4caa559e51dc
market 2 0x78effa3e5…
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### Prizes
First place team: 2000 DAI
Second place team: 1000 DAI
### Challenge
At Gnosis we have developed an open-source [conditional token framework](https://docs.gnosis.io/conditionaltok…
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Feature to automate a variety of tasks associated with training a predictive machine learning model to generate market forecasts given a set of input signals. In general, this aims would be a sandbox …
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I want to offer a new point of view, and my colaboraty
#### Why this stock prediction project ?
Things this project **offers** that I did not find in other free projects, are:
+ Testing with _…