Systematic financial trading strategies account for over 80% of trade volume in equities and a large chunk the foreign exchange market. In spite availability data from multiple markets, current approaches rely mainly on learning per individual this paper, we take step towards developing fully end-to-end global that leverage systematic trends to produce superior market-specific strategies. We in...

Learning-based localization methods typically consist of an offline phase to collect the wireless signal data to build a statistical model, and an online phase to apply the model on new data. Many of these methods treat the training data as if their distributions are fixed across time. However, due to complex environmental changes such as temperature changes and multi-path fading effect, the si...

Enrichment culturing and transferring technique is frequently used to obtain specific functional microorganisms for more in-depth investigations from the complex samples containing a wide range of different microorganisms. This fundamental critically important in research microbial ecology, environmental microbiology, science, but proper practice this applications remains ambiguous some investi...

Jean is a model of early cognitive development based loosely on Piaget’s theory of sensori-motor and pre-operational thought. Like an infant, Jean repeatedly executes schemas, gradually transferring them to new situations and extending them as necessary to accommodate new experiences. We model this process of accommodation with the Experimental State Splitting (ESS) algorithm. ESS learns elemen...

Travelling salesman problem (TSP) is a combinational optimization problem and solution approaches have been applied many real world problems. Pure TSP assumes the cities to visit are fixed in time and thus solutions are created to find shortest path according to these point. But some of the points are canceled to visit in time. If the problem is not time crucial it is not important to determine...