A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
The subcellular location of proteins is most often determined by visual interpretation of fluorescence microscope images. In recent years, automated systems have been developed so...
Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Mu...
Various sectors in developing countries are typically dominated by the presence of a large number of small and microbusinesses that operate in an informal, unorganized manner. Man...
Arun Kumar, Nitendra Rajput, Sheetal K. Agarwal, D...