We show how to use linear belief functions to represent market information and financial knowledge, including complete ignorance, statistical observations, subjective speculations...
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The agent has partial information of each target's pose, and must reason about its u...
: To model surface imperfections and weathering, we proposea two-step texture generation framework in between manual texture synthesis and automatic physical simulation. Although t...
In this paper we present the Dinosaur Hypothesis, which states that the behaviour of a market never settles down and that the population of predictors continually co-evolves with t...
Michael Kampouridis, Shu-Heng Chen, Edward P. K. T...