User profiles for P. Baldi
Pierre BaldiProfessor, University of California, Irvine Verified email at ics.uci.edu Cited by 70121 |
Assessing the accuracy of prediction algorithms for classification: an overview
… When p = 1 we find the Hamming distance, and when p = 2 we find the proper Euclidean
distance. When p → ∞, the L ∞ distance is the sup distance: maxi |di − mi |. This distance …
distance. When p → ∞, the L ∞ distance is the sup distance: maxi |di − mi |. This distance …
Mitochondrial mutations in cancer
M Brandon, P Baldi, DC Wallace - Oncogene, 2006 - nature.com
The metabolism of solid tumors is associated with high lactate production while growing in
oxygen (aerobic glycolysis) suggesting that tumors may have defects in mitochondrial function…
oxygen (aerobic glycolysis) suggesting that tumors may have defects in mitochondrial function…
A survey, classification and comparative analysis of medium access control protocols for ad hoc networks
… by notifying specialized neighboring nodes called p-supporters. P-supporters are responsible
for keeping track of the sleep schedules of neighboring p-savers, for buffering data for …
for keeping track of the sleep schedules of neighboring p-savers, for buffering data for …
The genome of the domesticated apple (Malus × domestica Borkh.)
We report a high-quality draft genome sequence of the domesticated apple (Malus ×
domestica). We show that a relatively recent (>50 million years ago) genome-wide duplication (…
domestica). We show that a relatively recent (>50 million years ago) genome-wide duplication (…
Autoencoders, unsupervised learning, and deep architectures
P Baldi - Proceedings of ICML workshop on unsupervised …, 2012 - proceedings.mlr.press
… Every solution is defined up to multiplication by an invertible p×p matrix C, or equivalently up
… B of rank p define a critical point if and only if there is a set I and an invertible p × p matrix C …
… B of rank p define a critical point if and only if there is a set I and an invertible p × p matrix C …
[BOOK][B] Bioinformatics: the machine learning approach
… Pierre Baldi and Søren Brunak present the key machine learning approaches … P(x) for P(X
= x), or sometimes just P(X) if no confusion is possible. Actual distributions are denoted by P…
= x), or sometimes just P(X) if no confusion is possible. Actual distributions are denoted by P…
A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes
… conjugate prior is a Dirichlet distribution (Baldi and Brunak, 2001). The … P(µ|σ2)P(σ2), where
the marginal P(σ2) is scaled inverse gamma (Appendix) and the conditional distribution P(µ|…
the marginal P(σ2) is scaled inverse gamma (Appendix) and the conditional distribution P(µ|…
Neural networks and principal component analysis: Learning from examples without local minima
P Baldi, K Hornik - Neural networks, 1989 - Elsevier
… Finally, if M is an n x p(p ::5 n) matrix we shall denote by PM the matrix of the orthogonal
projection onto the subspace spanned by the columns of M. It is well known that …
projection onto the subspace spanned by the columns of M. It is well known that …
[HTML][HTML] Searching for exotic particles in high-energy physics with deep learning
P Baldi, P Sadowski, D Whiteson - Nature communications, 2014 - nature.com
… where E is the energy and p is the three-dimensional momentum of the particle. Similarly,
the invariant mass of more than two particles can be defined as the modulus of the particles’ …
the invariant mass of more than two particles can be defined as the modulus of the particles’ …
[HTML][HTML] Bayesian surprise attracts human attention
… P(D) and P ( D | w ) by adjusting w. Clearly this is different from the KL between the posterior
P ( w | D ) and the prior P(… Thus, we use for P ( M ) a functional form such that P ( M | D ) has …
P ( w | D ) and the prior P(… Thus, we use for P ( M ) a functional form such that P ( M | D ) has …