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Abstract: This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can ...

Cash transfers are a popular strategy for reducing poverty and improving health and education outcomes in poor communities. The idea is simple – money is provided to households either without any ...

To calculate the probability of an event, the total number of possible outcomes is often required. For simple situations, making a list or completing a sample space diagram is enough but in more ...

Probabilities can be written as fractions, decimals or percentages on a scale from 0 to 1. Knowing basic facts about equally likely outcomes can help to solve more complicated problems. Probability is ...

Abstract: This paper elaborates on the ranked nodes method (RNM) that is used for constructing conditional probability tables (CPTs) for Bayesian networks consisting of a class of nodes called ranked ...

Gerolamo Cardano (1501-1576) wrote the first recorded definition of probability. Mlodinow (2009) paraphrased a modernized definition of probability from Cardano's work, Book on Games of Chance: ...

# Licensed under the MIT License. Chapter 4: Conditional Policies — Environment-Aware Rules and Conflict Resolution Shows how policies can change based on environment (dev vs prod), then what happens ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...

WPA quantifies the percent change in a team's chances of winning from one event to the next. It does so by measuring the importance of a given plate appearance in the context of the game. For instance ...