Deliverables

Here we will continually update the list of all public deliverables.

As the deliverables get published, the deliverable titles in the table below become clickable and will link you to the specific documents.

Years 3 and 4 Deliverables (trimesters)

Deliverable number	Deliverable Title	WP number	Lead beneficiary	Delivery date
D27	State of the art and requirements report	11	UAL	9
D13	Report describing designed classifiers to deal with combined problems	5	UCLM	10
D30	Description of the method and software for cell identification	12	UCLM	11
D10	Report describing the solutions designed for structural learning	4	UCLM	12
D18	Documentation of the software platform and user's handbook	7	UAL	12
D21	Designed prototype	8	UGR	12
D24	Designed prototype	9	UGR	12
D26	Description of the algorithms for image evaluation	10	UCLM	12
D28	Prototype solution	11	UAL	12

Years 1 and 2 Deliverables (trimesters)

Deliverable number	Deliverable Title	WP number	Lead beneficiary	Delivery date
D5	State of the art of canonical models literature	3	UGR	1
D3	State of the art of functional dependencies in BN literature	2	UAL	2
D11	State of the art on non-standard supervised classification with PGMs	5	UCLM	2
D16	Software requirements specification	7	UAL	2
D22	Requirements specification report	9	UGR	2
D19	Requirements specification report	8	UGR	2
D1	State of the art of model encapsulation in BN literature	1	UAL	3
D6	Report describing the solutions designed for learning	3	UGR	3
D14	State of the art on learning from data streams	6	UGR	3
D8	State of the art of current MapReduce-based approaches in PGMs research	4	UCLM	4
D17	Design document of the prototype software platform	7	UAL	5
D7	Report describing the solutions designed for inference	3	UGR	6
D12	Report describing designed preprocessing algorithms and classifiers	5	UCLM	6
D4	Report describing the new solutions for functional dependencies in hybrid BNs	2	UAL	7
D29	Description of the method and software system created fo COPD readmision prediction	12	UCLM	7
D2	Report describing the solutions designed for hybrid BNs and OOBNs	1	UAL	8
D9	Report describing the solutions designed for parameter learning	4	UCLM	8
D15	Report describing the solutions designed for learning	6	UGR	8
D20	Analysis and design of the proposed architecture	8	UGR	8
D23	Analysis and design of the proposed architecture	9	UGR	8
D25	Description of the PGM-based Transcoder	10	UCLM	8