International Business Machines Corporation

John Sheehan

Bei Chen

Eric P Bouillet

Thanh Lam Hoang

Rahul Nair

Pascal Pompey

Randall Lee Cogill

Marco Laumanns

Emanuele Ragnoli

William Karol Lynch

Stefano Braghin

Kevin J Reilly

Tim Nonner

Gokhan Sagirlar

Jacint Szabo

Karol W Lynch

Mustafa Rafique

Embodiments for ensemble policy generation for prediction systems by a processor. Policies are generated and/or derived for a set of ensemble models to predict a plurality of target variables for streaming data such that the plurality of policies enables dynamic adjustment of the prediction system. One or more of the policies are updated according to one or more error states of the set of ensemble models.

Ensemble model policy generation for prediction systems

Various embodiments are provided for managing cryptographic bottlenecks for distributed multi-signature blockchain contracts in a computing environment. One or more cryptographic bottlenecks of cryptographic requests at a cryptographic accelerator may be resolved by switching between a blockchain node cryptographic library and an accelerator cryptographic library upon a number of the cryptographic requests at the accelerator exceeding a defined threshold.

Resolving cryptographic bottlenecks for distributed multi-signature contracts shared with cryptographic accelerators by switching between local and accelerator cryptographic libraries

Embodiments for self-managed adaptable models for prediction systems by one or more processors. One or more adaptive models may be applied to data streams from a plurality of data sources according to one or more data recipes such that the one or more adaptive models predict a plurality of target variables.

Self-managed adaptable models for prediction systems

A system and method for asset leak risk assessment in blockchains are presented. A risk assessment of recursive call attack vulnerabilities may be cognitively determined according to risk vulnerability measurements generated from a computer program source code, a list of external call functions, a risk assessment function, a list of assets, a parser, or a combination thereof.

Risk assessment of asset leaks in a blockchain

Performing data clustering in a model property vector space. Input data is received comprising a plurality of data instances in a data vector space. A model property vector specification is defined for a model vector. Information is identified from the input data, and a model property vector is created in the model property vector space for each of the plurality of data instances. A target number of clusters is identified and used to perform a data clustering procedure. An output is generated comprising a plurality of data segments and one or more clustering rules. For each data cluster, a predictive model is constructed for each data segment of the plurality of data segments.

Predictive model clustering

Embodiments for network reconstruction from message data by a processor. A digital map may be created using one or more messages of a plurality of vehicles obtained at a plurality of control points of a route network. The digital map may be analyzed to estimate a feasibility of simultaneous trajectories of the plurality of vehicles between selected locations in the route network.

Network map reconstruction from message data

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John Sheehan