International Business Machines Corporation

Rensselaer Polytechnic Institute

Lenovo (singapore) Pte. Ltd.

Carnegie Mellon University

Jeffrey Owen Kephart

Jonathan Lenchner

Rajarshi Das

Canturk Isci

David Michael Chess

James Edwin Hanson

Steve Richard White

Hoi Yeung Chan

Suzanne K McIntosh

Gregory Bret Sorkin

Brian Paul Gaucher

David O S Melville

David W Levine

Bulent Abali

Jonathan Hudson Connell, Ii

Dipankar Das Sarma

Gerald James Tesauro

Malgorzata Steinder

Ian N Whalley

William Carlisle Arnold

John Frederick Morar

Iqbal I Mohomed

Steven Richard White

Clifford A Pickover

Valentina Salapura

Arun Kwangil Iyengar

Hendrik F Hamann

Murthy V Devarakonda

Hui Su

Dung Tien Phan

Bret W Lehman

Diana Joyce Hellman

Christopher L Molloy

Dario Gil

Richard B Segal

Wayne B Riley

Dhavalkumar C Patel

Chandrasekhara K Reddy

Josephine F Bayang

Edward John Pring

John C Nelson

Valerio Bellizia

James K MacKenzie

Morton Gregory Swimmer

Robert J Calio

Stephen Viselli

Michael J Frissora

Matthew Peveler

Michael Gaertner

Dillon H Ginley

Attila Kollar

Srinivasarao Siddabattini

Tony A Bentivegna

James W Thoensen

Li Feng Zhang

James R Kozloski

Mark N Wegman

Myron Dale Flickner

David Frederick Bantz

Liana Liyow Fong

Shang Qing Guo

Christos J Georgiou

Jehoshua Bruck

Xiaoqiao Meng

Juan C Rubio

Alla Segal

Maryam Ashoori

Wael R El-Essawy

Marc Adam Kaplan

Thomas W Keller, Jr

John Martin Prager

Yixin Diao

Frederick Cole Mintzer

Vadakkedathu Thomas Rajan

Yingjie Li

Charles Edwin Cox

Brad L Brech

Scott Alan Piper

Elham Khabiri

Trieu Can Chieu

Jennifer Quirin Trelewicz

Marion Lee Blount

Dharmashankar Subramanian

Robert Russell Wolford

Jason L Crawford

Bhavna Agrawal

Saurabh Bagchi

Maira Gatti De Bayser

Anshul Gandhi

Anuradha Bhamidipaty

Debarun Bhattacharjya

Yanbin Liu

Joseph W Wells

Mor Harchol-Balter

Shuxin Lin

Xiangyang Mou

Melina De Vasconcelos Alberio Guerra

David Os Melville

William Edward Walsh

Michael Wilbur Munger

Techniques for model evaluation and selection are provided. A plurality of models trained to generate predictions at each of a plurality of intervals is received, and a plurality of model ensembles, each specifying one or more of the plurality of models for each of the plurality of intervals, is generated. A test data set is received, where the test data set includes values for at least a first interval of the plurality of intervals and does not include values for at least a second interval of the plurality of intervals. A first model ensemble, of the plurality of model ensembles, is selected based on processing the test data set using each of the plurality of model ensembles.

Determining and selecting prediction models over multiple points in time using test data

A method is provided for creating a semantic model for submitting search queries thereto. The method includes an act of receiving data from one or more input sources in an entity and relationship capture service of a situational awareness engine. The method further includes an act of extracting entities and relationships between the entities in two or more extraction services, where the two or more extraction services include at least two of a table-to-graph service, an event-to-graph service, a sensor-to-graph service, a text-to-graph service, and an image-to-graph service. The method includes an act of generating a semantic model based on fusion and labeling the extracted data provided by the at least two extraction services, where the semantic model can receive a search query and respond to the search query based on the generated semantic model.

Situational awareness by fusing multi-modal data with semantic model

Computer-implemented methods for a system for storing and retrieving queries by content. Aspects include receiving data associated with a search query. Aspects further include generating a query table by executing a metaquery using the data on query metadata attributes of existing search queries. The query table can include information for a group of search queries of the existing search queries. Aspects also include generating search results by executing a selected query chosen from the query table and displaying the search results from the execution of the selected query.

System for storing and retrieving queries by content

Techniques for generating model ensembles are provided. A plurality of models trained to generate predictions at each of a plurality of intervals is received. A respective prediction accuracy of each respective model of the plurality of models is determined for a first interval of the plurality of intervals by processing labeled evaluation data using the respective model. Additionally, a model ensemble specifying one or more of the plurality of models for each of the plurality of intervals is generated, comprising selecting, for the first interval, a first model of the plurality of models based on (i) the respective prediction accuracies and (ii) at least one non-error metric.

Determining and selecting prediction models over multiple points in time

A computer-implemented method for multi-modal interaction with structured web page data includes automatically injecting event monitoring code into a web page. One or more event streams generated by the injected event monitoring code are received. A request to perform an operation on data displayed on the web page is received from a user. A command is generated that has one or more parameters based at least in part on one or more mappings between the received request and the received one or more event streams. The command to fulfil the received request is executed by interacting with the web page.

Using natural language to control structured web page data

Human speech signals that are uttered within an environment are transcribed; the environment includes one or more avatars representing one or more software agents; the human speech signals are directed to at least one of the avatars. At least one non-speech behavioral trace is obtained within the environment; the trace is representative of non-speech behavior directed to the at least one of the avatars. The transcribed human speech signals and the at least one non-speech behavioral trace are forwarded to the one or more software agents. A proposed act is obtained from at least one of the agents; responsive thereto, a command is issued to cause the avatar corresponding to the software agent from which the proposed act is obtained to emit synthesized speech and to act visually in accordance with the proposed act.

Embodied negotiation agent and platform

The method includes receiving a first set of data from a first client device. The method further includes determining a first topic from the first set of data. The method further includes generating a first productivity value for the first topic. The method further includes receiving a second set of date data from a second client device. The method further includes determining a second topic from by the second set of data. The method further includes generating a second productivity value for second set of data. The method further includes comparing the first topic to the second topic. The method further includes in response to comparing the first topic and the second topic and determining the difference between the first productivity value and the second productivity value is above a threshold value, triggering an action.

Crowdsourcing of meetings

Methods and apparatus are provided for the dynamic placement, management and monitoring of Internet advertising. A provider of Internet content distributes the Internet content by embedding an advertisement placeholder in the Internet content; and provides the Internet content to an aggregator web site. The aggregator web site presents the Internet content to at least one end user with at least one advertisement in the advertisement placeholder. The advertisement placeholder is processed by a third party agent to automatically share revenue from the at least one advertisement with the provider of the Internet content and a provider of the aggregator web site. The advertisement placeholder can optionally be embedded in the Internet content using one or more templates. The third party agent also evaluates the content and at least one policy of multiple parties to identify at least one advertisement to present in the advertisement placeholder. The advertisement placeholder embodies a three party agreement between the provider of the Internet content, the provider of the aggregator web site and at least one advertiser.

Dynamic internet advertising system

A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling; resources including at least one of live migration network characteristics and VM execution parameters.

Live virtual machine migration quality of service

A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling resources including at least one of live migration network characteristics and VM execution parameters.

A system, computer program product, and method is described to provide a visualization tool which portrays the certain equivalent for one or more hypothetical (i.e. synthetic) or real probability distributions p(m), and optionally allows the user to manipulate that representation, resulting in associated changes to the underlying utility function u(m). In a first example, the risk preference visualization tool allows one to explore how the certain equivalent depends upon the probability distribution p(m), for a fixed utility function u(m). In a second example, the risk preference visualization tool allows one to explore how the certain equivalent depends upon the utility function u(m), assuming one or more fixed probability distributions p(m), p(m), etc. In a third example, the decision maker can provide feedback through the visualization tool that would cause their utility function to be modified.

Dual interactive visualization system for sensitivity analysis to risk preferences for decision support

Power usage is estimated in a computing environment by automatically detecting hardware configuration information by use of a software agent that is translated into power consumption information for implementing a plurality of power estimation models for efficient power consumption and utilization.

Estimating power usage in a computing environment

A method for managing and rendering one or more information nodes relative to a current focus. The method receives one or more principal topics from an analysis of the information nodes. The method determines a topic vector from a similarity of a first information node to each of the principal topics and a map from the topic vector to a storage location of the first information node. The method determines one or more current topics from a second information node that has been recently accessed by a user and a current focus vector from a similarity of the one or more current topics to the one or more principal topics. The method renders the current focus vector and the first information node according to a rendering algorithm that is applied to the current focus vector and the first information node.

Access and presentation of files based on semantic proximity to current interests

A computer program product for managing and rendering one or more information nodes relative to a current focus. The computer program product receives one or more principal topics from an analysis of the information nodes. The computer program product determines a topic vector from a similarity of a first information node to each of the principal topics and a map from the topic vector to a storage location of the first information node. The computer program product determines one or more current topics from a second information node that has been recently accessed by a user and a current focus vector from a similarity of the one or more current topics to the one or more principal topics. The computer program product renders the current focus vector and the first information node according to a rendering algorithm that is applied to the current focus vector and the first information node.

Growing community of inventors

Cortlandt Manor, NY, United States of America

Jeffrey Owen Kephart