Zobrazeno 1 - 10
of 309
pro vyhledávání: '"O'LEARY, DIANNE P."'
Autor:
Head, Jennifer, O'Leary, Dianne P.
Publikováno v:
IEEE Annals of the History of Computing 45(1):55--63, January-March 2023
In June 1965, Sister Mary Kenneth Keller, BVM, received the first US PhD in Computer Science, and this paper outlines her life and accomplishments. As a scholar, she has the distinction of being an early advocate of learning-by-example in artificial
Externí odkaz:
http://arxiv.org/abs/2208.01765
Deep learning models have been criticized for their lack of easy interpretation, which undermines confidence in their use for important applications. Nevertheless, they are consistently utilized in many applications, consequential to humans' lives, m
Externí odkaz:
http://arxiv.org/abs/2001.00682
We propose a real-time decision framework for multimodal freight dispatch through a system of hierarchical hubs, using a probabilistic model for transit times. Instead of assigning a fixed time to each transit, we advocate using historical records to
Externí odkaz:
http://arxiv.org/abs/1912.03733
Deep learning models have been the subject of study from various perspectives, for example, their training process, interpretation, generalization error, robustness to adversarial attacks, etc. A trained model is defined by its decision boundaries, a
Externí odkaz:
http://arxiv.org/abs/1908.02802
Deep learning models have proven to be exceptionally useful in performing many machine learning tasks. However, for each new dataset, choosing an effective size and structure of the model can be a time-consuming process of trial and error. While a sm
Externí odkaz:
http://arxiv.org/abs/1908.02400
Neural networks have been criticized for their lack of easy interpretation, which undermines confidence in their use for important applications. Here, we introduce a novel technique, interpreting a trained neural network by investigating its flip poi
Externí odkaz:
http://arxiv.org/abs/1903.08789
Entropy-based (M_N) moment closures for kinetic equations are defined by a constrained optimization problem that must be solved at every point in a space-time mesh, making it important to solve these optimization problems accurately and efficiently.
Externí odkaz:
http://arxiv.org/abs/1306.2881
Autor:
O'Hara, Michael J., O'Leary, Dianne P.
Polynomially-large ground-state energy gaps are rare in many-body quantum systems, but useful for adiabatic quantum computing. We show analytically that the gap is generically polynomially-large for quadratic fermionic Hamiltonians. We then prove tha
Externí odkaz:
http://arxiv.org/abs/0808.1768
This manuscript introduces various notions of k-locality of stabilizer codes inherited from the associated stabilizer groups. A choice of generators for the group leads to a Hamiltonian with the code in its groundspace, while a Hamiltonian holding th
Externí odkaz:
http://arxiv.org/abs/0802.0626