10 citations · 11 across the 5 of their papers we have counts for
7 papers
Exactness at Inference: A Representational Criterion for Out-of-Distribution Generalization
Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa +1
A model generalizes outside its training distribution only when it computes a representation structurally equivalent to the generating mechanism, not an approximation fitted to it.…
Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction
Christopher Harrison, Christine R. Kirkpatrick, Inês Dutra
Motivation: Traditional computational cluster schedulers are based on user inputs and run time needs request for memory and CPU, not IO. Heavily IO bound task run times, like ones…
Driven tabu search: a quantum inherent optimisation
Carla Silva, Inês Dutra, Marcus S. Dahlem
Quantum computers are different from binary digital electronic computers based on transistors. Common digital computing encodes the data into binary digits (bits), each of which is…
Accelerating Recommender Systems using GPUs
André Valente Rodrigues, Alípio Jorge, Inês Dutra
We describe GPU implementations of the matrix recommender algorithms CCD++ and ALS. We compare the processing time and predictive ability of the GPU implementations with existing m…
SkILL - a Stochastic Inductive Logic Learner
Joana Côrte-Real, Theofrastos Mantadelis, Inês Dutra +1
Probabilistic Inductive Logic Programming (PILP) is a rel- atively unexplored area of Statistical Relational Learning which extends classic Inductive Logic Programming (ILP). This…
ExpertBayes: Automatically refining manually built Bayesian networks
Ezilda Almeida, Pedro Ferreira, Tiago Vinhoza +4
Bayesian network structures are usually built using only the data and starting from an empty network or from a naive Bayes structure. Very often, in some domains, like medicine, a…