Nitrile-containing pharmaceuticals: efficacious roles of the nitrile pharmacophore
FF Fleming, L Yao, PC Ravikumar, L Funk… - Journal of medicinal …, 2010 - ACS Publications
Over 30 nitrile-containing pharmaceuticals are prescribed for a diverse variety of medicinal
indications with more than 20 additional nitrile-containing leads in clinical development. …
indications with more than 20 additional nitrile-containing leads in clinical development. …
[HTML][HTML] Validity of bond strength tests: A critical review-Part II
…, Y Ravishankar, P Ravikumar - Journal of …, 2014 - journals.lww.com
Background: Macro-bond strength tests resulted in cohesive failures and overestimation of
bond strengths. To reduce the flaws, micro-bond strength tests were introduced. They are the …
bond strengths. To reduce the flaws, micro-bond strength tests were introduced. They are the …
A review of multivariate distributions for count data derived from the Poisson distribution
The Poisson distribution has been widely studied and used for modeling univariate count‐valued
data. However, multivariate generalizations of the Poisson distribution that permit …
data. However, multivariate generalizations of the Poisson distribution that permit …
[PDF][PDF] A Comparison of String Distance Metrics for Name-Matching Tasks.
Using an open-source, Java toolkit of name-matching methods, we experimentally compare
string distance metrics on the task of matching entity names. We investigate a number of …
string distance metrics on the task of matching entity names. We investigate a number of …
High-dimensional Ising model selection using ℓ1-regularized logistic regression
P Ravikumar, MJ Wainwright, JD Lafferty - 2010 - projecteuclid.org
… x(i) ∈ {0,1}p might correspond to the votes of a set of p politicians on a particular bill, and …
They obtain a sample complexity that grows logarithmically in the number of vertices p, but …
They obtain a sample complexity that grows logarithmically in the number of vertices p, but …
Learning with noisy labels
…, IS Dhillon, PK Ravikumar… - Advances in neural …, 2013 - proceedings.neurips.cc
In this paper, we theoretically study the problem of binary classification in the presence of
random classification noise---the learner, instead of seeing the true labels, sees labels that …
random classification noise---the learner, instead of seeing the true labels, sees labels that …
High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
… For each graph type, we varied the size of the graph p in different ranges, from p = 64 upwards
to p = 375. For the chain and star graphs, we define a covariance matrix Σ∗ with entries Σ…
to p = 375. For the chain and star graphs, we define a covariance matrix Σ∗ with entries Σ…
A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers
… High-dimensional statistical inference deals with models in which the the number of
parameters p is comparable to or larger than the sample size n. Since it is usually …
parameters p is comparable to or larger than the sample size n. Since it is usually …
Dags with no tears: Continuous optimization for structure learning
Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks)
is a challenging problem since the search space of DAGs is combinatorial and scales …
is a challenging problem since the search space of DAGs is combinatorial and scales …
[PDF][PDF] A comparison of string metrics for matching names and records
We describe an open-source Java toolkit of methods for matching names and records. We
summarize results obtained from using various string distance metrics on the task of matching …
summarize results obtained from using various string distance metrics on the task of matching …