7 results about "Set representation" patented technology

Embodiments of the present disclosure relate to devices, methods, apparatuses and computer-readable storage media for ML abstract behavior management. A first device determines a first mapping from a network context to a set of abstract actions, the set of abstract actions representing actual actions of a machine learning entity; sends, to a second device, first information indicative of the first mapping; and receives, from the second device, second information associated with at least a second abstract action, the second abstract action corresponding to an actual action of the machine learning entity given the actual network context. The first device further monitors, based on the second information, a difference between a first abstract action determined based on the first mapping and the second abstract action.

This invention particularly relates to a computer-implemented method for processing 3D signals of shape attributes on a real object. The method includes providing a graph having nodes and arcs. Each node represents a corresponding point in a measured 3D discrete representation of the real object. Each arc connects two nodes representing adjacent points in the discrete representation. The method further includes providing a set of values ​​representing the distribution of shape attributes on the real object. Each value is associated with a corresponding node in the graph and represents the shape attribute at the corresponding point represented by that node. The method further includes modifying the set of values ​​by minimizing an energy defined on a Markov random field formed on the graph.

Provided is a method for the set similarity join, wherein each set represents a process and each token represents a process step. The process comprises a series of process steps executed in at least one source computer system. Hence, similar sets represent similar processes within a collection of processes. The method is based on a two-level signature scheme. Having indexed the sets using a first signature into inverted lists, selected lists, in particular long lists, are reindexed using a second signature. As a result, the number of candidates and thus the number of required distance calculations can be effectively reduced. Its experimental evaluation has shown that the method consistently outperforms state-of-the-art algorithms on datasets with diverging characteristics, suggesting a stable solution for a wide range of applications.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes obtaining one or more design criteria for a modeled object including at least one design constraint; calculating a series of target values for the at least one design constraint, from an initial target value to a final target value; iteratively modifying a generatively designed three dimensional shape of the modeled object in the design space, wherein the iteratively modifying comprises performing numerical simulation of the modeled object, computing shape change velocities for an implicit surface in a level-set representation of the three dimensional shape in accordance with respective ones of target values in the series of target values, starting from the initial target value and ending with the final target value, and updating the level-set representation using the shape change velocities.

The invention relates to a device and a method for processing decision data comprising a decision tree (T) and an input path (P), each node (r) of the decision tree being associated with a respective feature (i) of a set of features (F). According to the present disclosure, the method comprises at least one iteration of an inheritance process as a function of a current generic set (U) representing some features that may be independent of interpreting the input path and as a function of a current node (r) and child nodes (s) connected together by edges ((r, s)), the set (U) being contained in a set of features (F), the inheritance process comprises:-determining that the edge ((r, s)) verifies a first criterion relating to the consistency of the edge ((r, s)) with a corresponding edge ((r ', s') of the input path (P), the corresponding edge ((r ', s') of the input path (P) relating to a feature (i) identical to the feature of the current node (r), then performing a first sub-inheritance process as a function of the sub-node (s); and / or-determining that the edge ((r, s)) verifies a second criterion and then performs a second sub-inheritance process as a function of the sub-node (s) and the current general set (U), such that the first sub-inheritance process and the second sub-inheritance process allow features to be included in the set (U) to interpret the input path (P).

This paper discloses a linear MARS method for interface tracking in three-dimensional multiphase flow simulation. Given initial liquid tracer information and the flow field in which it resides, this method utilizes Yin set representation and time integration to obtain the liquid surface tracer information at a target moment during the flow process under the influence of the flow field, ultimately determining the interface morphology. This method achieves consistent fourth-order accuracy in both time and space, maximizes the geometric topological properties of the flow phase, and is economical, fast, and highly reusable.

The invention relates to a code construction method and system for behavior rules, and relates to the technical field of simulation modeling. A rule logic diagram corresponding to the target behavior rule is obtained, the rule logic diagram comprises at least one component, each component is used for achieving at least one function in the target behavior rule, and the components with the logic relation are connected through directed edges; performing conversion processing on the rule logic diagram by utilizing a set conversion tool to obtain an intermediate representation diagram with a set representation form; performing analysis processing on the intermediate representation graph to identify components included in the intermediate representation graph and a logical relationship between the identified components; acquiring a component code of the identified component; and combining the obtained component codes according to the logic relationship between the identified components, and constructing to obtain the code of the target behavior rule. The information loss is reduced, and flexible expansion of different logic representations and different code platforms can be supported by means of the logic intermediate representation graph.