Abstract:
In a computer system having a main memory for storing data in a compressed format and a processor cache for storing decompressed data, a method for converting the data of said main memory from compressed to uncompressed state, comprising the steps of a) reducing used portions of said main memory to a target value; b) disabling a compressor used for compressing the uncompressed data; c) decompressing said compressed data of said main memory; d) moving said decompressed data to physical addresses equal to real addresses; e) and releasing the memory occupied by a compressed memory director and data structures used in steps a. to d.
Abstract:
Systems and methods are provided for dynamically generating computer executable technical support procedures, as well as updating/augmenting such executable procedures, by tracking and processing sequences of actions (execution traces) that are taken by experts (or users) when performing a procedure or when executing an executable procedure. In one aspect, a method for generating and distributing a reusable executable procedure includes observing an expert executing a given procedure or task (step 101) (e.g., monitoring and recording a sequence of steps/actions (e.g., mouse clicks, keyboard actions, etc.) that are taken by an expert (or user) when manually performing a task/procedure on, e.g., a machine that is to be repaired or upgraded), and recording annotations (step 102) that may be made by the expert to explain why certain actions are taken or why certain decisions are made. The captured sequence of actions and recorded annotations are converted to an annotated execution trace that represents the execution of the procedure, which is stored in a procedure database (step 103). One or more corresponding/related procedure execution traces are retrieved from the procedure database (step 104) and then aligned (step 105) to identify/match corresponding/related steps/actions between the different procedure traces. The aligned traces are then generalized (step 106) to produce an executable procedure. The aligned traces are generalized by, e.g., identifying differences between corresponding steps of different traces, explaining them, and abstracting them into a logical description of the action to be performed at each step, to produce the executable procedure. The executable procedure can be subsequently retrieved and executed as required (step 107).
Abstract:
PROBLEM TO BE SOLVED: To realize compact display of multi-dimensional data by generating and storing clustering information for one or more clusters into which multi- dimensional data is divided, and generating and storing one or more dimension- reduced clusters and dimension-reduction information for this cluster. SOLUTION: A clustering process receives basic data 602 as the input and divides this data into plural data clusters 603 and generates clustering information 504 related to details of this division. Clustering information 604 generated by the learning stage of a clustering algorithm is changed with this algorithm. Dimension reduction 606 receives one data cluster 603 and generates dimension- reduction information 607 and a dimension-reduced cluster 603. Next, a search possible index 612 for the current cluster is generated. If the number of already analyzed clusters is equal to the number of clusters 603 generated by the clustering algorithm, the process is terminated here.
Abstract:
PROBLEM TO BE SOLVED: To provide a device that is coupled to an interconnection network to allow a plurality of hosts to share a collection of memory sectors that store compressed data, in a computer system with a plurality of hosts connected through an interconnection network. SOLUTION: The device includes a network adapter for coupling the device to an interconnection network, a memory for storing a collection of memory sectors, and control logic for managing the memory. The control logic includes a memory compressor/decompressor. The memory further includes a directory for translating a real address of at least one host into an address in the device. A method for managing some memory sectors used by each host, and a method for translating a real address specified by at least one host into a real address of the device are also provided. COPYRIGHT: (C)2005,JPO&NCIPI
Abstract:
A method, an apparatus and an article of manufacture for customizing a natural language processing engine. The method includes enabling selection of one or more parameters of a desired natural language processing task, the one or more parameters intended for use by a trained and an untrained user, mapping the one or more selected parameters to a collection of one or more intervals of an input parameter to an optimization algorithm, and applying the optimization algorithm with the collection of one or more intervals of an input parameter to a model used by a natural language processing engine to produce a customized model.
Abstract:
A computer system having a main memory for storing data in a compressed format and a processor cache for storing decompressed data, a method for converting the data of said main memory from compressed to uncompressed state, comprising the steps of reducing used portions of said main memory to a target value; disabling a compressor used for compressing the uncompressed data; decompressing said compressed data of said main memory; moving said decompressed data to physical addresses equal to real addresses; and releasing the memory occupied by a compressed memory director and data structures used in the above steps.
Abstract:
An artificial Intelligence (AI) computer platform to incorporate synthetic data and ground truth data, and to promote diversity and accuracy in generating the synthetic data. Synthetic questions are generated by a question generator in response to semantically related ground truth passage and answer data. Each generated question is presented to an answer generator together with the semantically related ground truth passage. Each synthetic question is evaluated with respect to its diversity from previous synthetic questions generated for the same ground truth passage and answer data. Each synthetic question is also evaluated with respect to the accuracy of the answer generated by the answer generator. A reward function that captures both accuracy and diversity of each synthetic question is leveraged to selectively modify the question generator, with the selective modification(s) directed at increasing textual diversity and maintaining accuracy of the generated synthetic questions.
Abstract:
Bereitgestellt wird ein Verfahren zum automatischen Extrahieren und Organisieren von Informationen aus einer Vielzahl von Datenquellen durch eine Verarbeitungseinheit. Eine Informationenextraktions-Pipeline zum Verarbeiten von natürlicher Sprache, die eine automatische Erkennung von Entitäten aufweist, wird auf die Datenquellen angewendet. Informationen über erkannte Entitäten werden identifiziert, indem Produkte der Pipeline zum Verarbeiten von natürlicher Sprache analysiert werden. Identifizierte Informationen werden in Äquivalenzklassen gruppiert, die äquivalente Informationen enthalten. Mindestens eine anzeigbare Darstellung der Äquivalenzklassen wird erstellt. Eine Reihenfolge, in der die mindestens eine anzeigbare Darstellung angezeigt wird, wird berechnet. Eine kombinierte Darstellung der Äquivalenzklassen, die die Reihenfolge einhält, in der die anzeigbare Darstellung angezeigt wird, wird erzeugt.
Abstract:
A computer system having a main memory for storing data in a compressed format and a processor cache for storing decompressed data, a method for converting the data of said main memory from compressed to uncompressed state, comprising the steps of reducing used portions of said main memory to a target value; disabling a compressor used for compressing the uncompressed data; decompressing said compressed data of said main memory; moving said decompressed data to physical addresses equal to real addresses; and releasing the memory occupied by a compressed memory director and data structures used in the above steps.
Abstract:
Predlozený vynález se týká vylepseného zpusobu indexování vícerozmerných dat, který vytvárí kompaktní indexy takovým zpusobem, ze vsechny nebo vetsina indexu muze být rezidentní v hlavní pameti v libovolném okamziku. Behem shlukování a snízení pocturozmeru jsou vytvoreny informace o shlukování (111) a informace o snízení poctu rozmeru (112), které jsou vyuzity v následné vyhledávací fázi. Zpusobindexování muze být efektivní i za prítomnosti promenných, které nejsou vysoce korelovány. Dalsí nástroje slouzí pro efektivní provádení exaktního vyhledávání a vyhledávání nejblizsího souseda s vyuzitím informace o shlukování (111) a informace o snízení poctu rozmeru (112). Jeden príklad snízení poctu rozmeru vyuzívá postupu dekompozice singulární hodnoty. Zpusob muze být rovnez aplikován rekurzivne na kazdý ze shluku o snízeném poctu rozmeru. Snízení poctu rozmeru muze být rovnez aplikováno na celou databázi jako prvotní krok pri vytvárení indexu.