Abstract: A system and method for classifying unstructured text documents, without the need for pre-classified training examples. In general, the system and method provides for blending statistical, syntactic and semantic considerations to learn classifiers from an organization's unclassified internal and external unstructured text documents, as well as unclassified documents available via the Internet. In one form, for each class in a taxonomy the class name is expanded into semantically related words and phrases to build approximate classifiers. Each approximate classifier will almost certainly be erroneous but it can be used to identify an approximately correct set of documents. The process is recursive; e.g. the approximate classifier with the strongest evidence, is fed back into the system until a stale set of the strongest terms for each classifier has been selected.

Abstract: A system and method for classifying unstructured text documents, without the need for pre-classified training examples. In general, the system and method provides for blending statistical, syntactic and semantic considerations to learn classifiers from an organization's unclassified internal and external unstructured text documents, as well as unclassified documents available via the Internet. In one form, for each class in a taxonomy the class name is expanded into semantically related words and phrases to build approximate classifiers. Each approximate classifier will almost certainly be erroneous but it can be used to identify an approximately correct set of documents. The process is recursive; e.g. the approximate classifier with the strongest evidence, is fed back into the system until a stale set of the strongest terms for each classifier has been selected.

Abstract: This invention provides a means for balancing the computational workload of individual processing nodes of a multiprocessor computer, such as a massively parallel processor (MPP), when executing a seismic migration program. Groups of prestack seismic traces are loaded into "input" nodes of the MPP. The "input" nodes examine the traces to determine which bins in the seismic survey are covered by the traces, and how many traces cover each bin. Each input node then broadcasts to all other nodes a description of the trace coverage. All nodes use the information in each broadcast to determine how many bins will be assigned to each "operator" node that will process the prestack data to produce poststack data. The bin assignment is designed to equalize the number of traces that each operator node processes. Thus, the invention provides a means for maximizing the efficiency with which an MPP can perform seismic migration processing, and is applicable to wide variety of MPPs and processing algorithms.

Abstract: This invention provides a method for inputting seismic trace data to a seismic processing program running on a massively parallel processor (MPP). The MPP, consisting of a plurality of individual processing nodes connected by a data and control communications network, is treated as a bipartite system of "operator" nodes and "input" nodes. Operator nodes apply mathematical operators to transform seismic data. Groups of seismic traces are loaded into the input nodes. The input nodes examine the data to determine which regions of the seismic survey are covered by the traces. The input nodes then broadcast to all operator nodes a compact description of the trace coverage. The operator nodes then retrieve traces from the input nodes, using efficient data transfer mechanisms of the data network. The input nodes can be seen to serve as a distributed, content-addressable data cache.

Abstract: A declarative object-oriented approach to menu construction provides a mechanism for specifying the behavior, appearance and function of menus as part of an interactive user interface. Menus are constructed from interchangeable object building blocks to obtain the characteristics wanted without the need to write new code or code and maintaining a coherent interface standard. The approach is implemented by dissecting interface menu behavior into modularized objects specifying orthogonal components of desirable menu behaviors. Once primary characteristics for orthogonal dimensions of menu behavior are identified, individual objects are constructed to provide specific alternatives for the behavior within the definitions of each dimension. Finally, specific objects from each dimension are combined to construct a menu having the desired selections of menu behaviors.