Abstract: A fitting system includes one or more processors configured to: initialize a user model; obtain a test setting comprising a primary test setting and a secondary test setting; output the primary test setting and the secondary test setting for presentation to a user; obtain a user input for a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on a hearing device parameter of the preferred test setting; wherein the one or more processors are configured to initialize the user model by: obtaining a profile of the user; obtaining a group of reference users; obtaining reference posteriors of reference users in the group of reference users; determining a collaborative user preference distribution based on the reference posteriors; setting the collaborative user preference distribution as a prior; and initializing the user model based on the prior.

Abstract: A method for updating a user model and fitting agent for a hearing device system is disclosed, the hearing device system comprising a hearing device worn by a hearing device user, wherein the fitting agent comprises one or more processors configured to initialize a user model comprising a plurality of user preference functions and associated user response distributions, wherein each user preference function is associated with an environment; obtain environment data indicative of a present environment; obtain a test setting comprising a primary test setting and a secondary test setting for the hearing device; present the test setting to the hearing device user; obtain a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting and the environment data.

Abstract: A fitting agent, e.g. for update of a user model for a hearing device user, and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function and/or a user response distribution; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to update the user model optionally comprises to determine a posterior of parameters of the user preference function, e.g. based on a previous parameter posterior, the preferred test setting, and a non-preferred test setting.

Abstract: A fitting agent for a hearing device and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to obtain the secondary test setting comprises: obtain a candidate set of candidate test settings; determine an uncertainty parameter for each candidate test setting; and select the secondary test setting from the candidate set of candidate test settings based on the uncertainty parameters of the candidate test settings.

Abstract: A method for updating a user model and fitting agent for a hearing device system is disclosed, the hearing device system comprising a hearing device worn by a hearing device user, wherein the fitting agent comprises one or more processors configured to initialize a user model comprising a plurality of user preference functions and associated user response distributions, wherein each user preference function is associated with an environment; obtain environment data indicative of a present environment; obtain a test setting comprising a primary test setting and a secondary test setting for the hearing device; present the test setting to the hearing device user; obtain a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting and the environment data.

Abstract: A fitting agent, e.g. for update of a user model for a hearing device user, and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function and/or a user response distribution; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to update the user model optionally comprises to determine a posterior of parameters of the user preference function, e.g. based on a previous parameter posterior, the preferred test setting, and a non-preferred test setting.

Abstract: A fitting agent for a hearing device and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to obtain the secondary test setting comprises: obtain a candidate set of candidate test settings; determine an uncertainty parameter for each candidate test setting; and select the secondary test setting from the candidate set of candidate test settings based on the uncertainty parameters of the candidate test settings.

Abstract: A domain authority 13 for use in a hierarchy of domain authorities in a hierarchical cryptographic system. The domain authority 13 comprises a user secret key generator 21 for generating a user secret key based on a domain secret key and one or more attribute representations, to obtain a user secret key associated with a set of attributes corresponding to the attribute representations, and wherein the domain secret key is based on a domain secret key of a parent domain authority or a root secret key of a root authority of the hierarchy of domain authorities, and wherein the attribute representations are independent of the hierarchy. A decrypter makes use of the user secret key. An encrypter generates ciphertext decryptable by the decrypter.

Abstract: A system for attribute-based encryption comprises a first encrypter (11) and a second encrypter (12). The first encrypter (11) comprises an input unit (1) for determining a message and a policy over a set of attributes, wherein the policy comprises a plurality of components, and a first cryptographic unit (2) for generating an encrypted representation of the message and an encrypted representation of the plurality of components. The second encrypter (12) comprises a receiving unit (3) for receiving the encrypted representation of the message and the encrypted representation of the plurality of components, and a second cryptographic unit (4) for transforming the encrypted representation of the message and the encrypted representation of the plurality of components into an attribute-based encrypted message associated with the policy.

Abstract: Sequence models are retrieved from a sequences index. The sequence models model DNA or RNA sequences stored in a database, and each comprises a finite memory tree source model and parameters for the finite memory tree source model. One or more DNA or RNA sequences stored in the database are identified as being most similar to a query DNA or RNA sequence based on fitting of the retrieved sequence models to the query DNA or RNA sequence. The sequence models may be context tree weighting (CTW) models {Sx, ?Sx} where Sx denotes the context tree model for the DNA or RNA sequence x stored in the database, and ?Sx denotes parameters of the context tree model Sx. The fitting may include, for each CTW model {Sx, ?Sx}, computing the codeword length for the query DNA or RNA sequence y using the CTW model {Sx, ?Sx.

Abstract: A system for attribute-based encryption comprises a first encrypter (11) and a second encrypter (12). The first encrypter (11) comprises an input unit (1) for determining a message and a policy over a set of attributes, wherein the policy comprises a plurality of components, and a first cryptographic unit (2) for generating an encrypted representation of the message and an encrypted representation of the plurality of components. The second encrypter (12) comprises a receiving unit (3) for receiving the encrypted representation of the message and the encrypted representation of the plurality of components, and a second cryptographic unit (4) for transforming the encrypted representation of the message and the encrypted representation of the plurality of components into an attribute-based encrypted message associated with the policy.

Abstract: A domain authority 13 for use in a hierarchy of domain authorities in a hierarchical cryptographic system. The domain authority 13 comprises a user secret key generator 21 for generating a user secret key based on a domain secret key and one or more attribute representations, to obtain a user secret key associated with a set of attributes corresponding to the attribute representations, and wherein the domain secret key is based on a domain secret key of a parent domain authority or a root secret key of a root authority of the hierarchy of domain authorities, and wherein the attribute representations are independent of the hierarchy. A decrypter makes use of the user secret key. An encrypter generates ciphertext decryptable by the decrypter.