Abstract: Systems and methods for pre-processing data to facilitate efficient and accurate machine learning are provided. The data may include market data. The pre-processing may include partitioning the data into windows assigning categories to windows generate a series of vectors. The series of vectors then being input into a computer system that executes a machine learning algorithm to efficiently train a neural network used to identify structure or patterns therein.

Abstract: Systems and methods for pre-processing data to facilitate efficient and accurate machine learning are provided. The data may include market data. The pre-processing may include partitioning the data into windows assigning categories to windows generate a series of vectors. The series of vectors then being input into a computer system that executes a machine learning algorithm to efficiently train a neural network used to identify structure or patterns therein.

Abstract: The disclosed embodiments relate to implementation, such as by a message processing system architecture, of a message handling system and/or protocol which mitigates optimistic messaging behavior. As used herein optimistic messaging behavior may at least refer to the transmission, in whole or in part, of a message, or of one or more messages of a sequence thereof, to a receiving system, such as the system implemented by the disclosed embodiments, prior to the sender determining that the message(s) is/are desired, alone or in conjunction with subsequently canceling or otherwise invalidating the message(s) once it has been determined that it is not desired. The disclosed embodiments mitigate such behavior by detecting and taking action with respect to these types of messages to deter optimizing behavior which may or may not be manipulative, while maintaining reliable message handling under increasing processing loads with minimal impact on users being able to send messages to the system.

Abstract: The disclosed embodiments relate to implementation, such as by a message processing system architecture, of a message handling system and/or protocol which mitigates optimistic messaging behavior. Optimistic messaging behavior may at least refer to the transmission, in whole or in part, of a message, or of one or more messages of a sequence thereof, to a receiving system, such as the system implemented by the disclosed embodiments, prior to the sender determining that the message(s) is/are desired, alone or in conjunction with subsequently canceling or otherwise invalidating the message(s) once it has been determined that it is not desired. The disclosed embodiments mitigate such behavior by detecting and taking action with respect to these types of messages to deter optimizing behavior which may or may not be manipulative, while maintaining reliable message handling under increasing processing loads with minimal impact on users being able to send messages to the system.

Abstract: The disclosed embodiments relate to implementation, such as by a message processing system architecture, of a message handling system and/or protocol which mitigates optimistic messaging behavior. As used herein optimistic messaging behavior may at least refer to the transmission, in whole or in part, of a message, or of one or more messages of a sequence thereof, to a receiving system, such as the system implemented by the disclosed embodiments, prior to the sender determining that the message(s) is/are desired, alone or in conjunction with subsequently canceling or otherwise invalidating the message(s) once it has been determined that it is not desired. The disclosed embodiments mitigate such behavior by detecting and taking action with respect to these types of messages to deter optimizing behavior which may or may not be manipulative, while maintaining reliable message handling under increasing processing loads with minimal impact on users being able to send messages to the system.

Abstract: Systems and methods for pre-processing data to facilitate efficient and accurate machine learning are provided. The data may include market data. The pre-processing may include partitioning the data into windows assigning categories to windows generate a series of vectors.

Abstract: Device for carrying out a chemical or physical treatment, comprising a frame on which a turntable is arranged rotatably. The reaction vessels are arranged on the turntable, and a different connection between the feed/discharge lines, which are fixedly connected to the frame, and the reaction vessels is constantly provided via a valve assembly. The valve assembly comprises two disks, each provided with ports which are positioned opposite one another in constantly changing positions. In order to minimize the non-operational time, an indexing movement is carried out using the turntable. In the case of relatively large installations, to prevent associated forces from affecting the movement of the valve assembly, it is proposed that the valve assembly be fitted directly on the turntable and that the turntable be driven directly by the motor.

Abstract: Device for treating a fluid, including a number of columns which are arranged on a support frame and through which the fluid is guided. This support frame rotates with respect to the environment and communication with the environment is achieved by means of a valve. This valve encompasses a plate which is rotationally fixed to the support frame and opposite to which there is a plate whose feed and discharge is in communication with the environment. This latter plate, or auxiliary member, can execute a limited reciprocating rotation, in order to achieve an indexing movement with respect to the first plate. These movements are realized with electromotors and wherein position sensors are provided.

Abstract: A process and apparatus are provided for estimating the movement of a moving object relative to a reference object. A symbol is formed on the moving object, the symbol having a rectilinear contour with at least two parallel straight lines. The symbol is observed from the reference object and the movement is determined by means of successive projections along two axes having a relative rotary movement with respect to the recorded image of the symbol. The rotary motion is preferably at such a rate that it does not interfere with obtaining images of the straight lines.