Add to ORKGA Boolean function f(x1, x2, …, xn) is elusive if every decision tree computing f must examine all n variables in the worst case. It is a long-standing conjecture that every non-trivial monotone weakly symmetric Boolean function is elusive. In this paper, we prove this conjecture for Boolean functions with twelve variables
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...
AbstractA Boolean function f(x1, …, xn) is elusive if every decision tree evaluating f must examine ...
AbstractA Boolean function f(x1,x2,…,xn) is elusive if every decision tree computing f must examine ...
AbstractA Boolean function f(x1,…,xn) is elusive if every decision tree evaluating f must examine al...
AbstractA Boolean function f(x1, …, xn) is elusive if every decision tree evaluating f must examine ...
AbstractA Boolean function f(x1,…,xn) is elusive if every decision tree evaluating f must examine al...
AbstractIn this paper, we present the empirical results for relationships between time (depth) and s...
We give an algorithm that learns any monotone Boolean function f: {−1, 1}n → {−1, 1} to any constant...
AbstractWe study the learnability of boolean functions from membership and equivalence queries. We d...
We study the learnability of boolean functions from membership and equivalence queries. We develop t...
We prove various results on monotone Boolean functions. In particular, we prove a conjecture propose...
This thesis focuses on finding counterexamples for the conjecture suggested by Dr. Jackson that if t...
It is difficult to find Boolean functions achieving many good cryptographic properties. Recently, Tu...
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...
AbstractA Boolean function f(x1, …, xn) is elusive if every decision tree evaluating f must examine ...
AbstractA Boolean function f(x1,x2,…,xn) is elusive if every decision tree computing f must examine ...
AbstractA Boolean function f(x1,…,xn) is elusive if every decision tree evaluating f must examine al...
AbstractA Boolean function f(x1, …, xn) is elusive if every decision tree evaluating f must examine ...
AbstractA Boolean function f(x1,…,xn) is elusive if every decision tree evaluating f must examine al...
AbstractIn this paper, we present the empirical results for relationships between time (depth) and s...
We give an algorithm that learns any monotone Boolean function f: {−1, 1}n → {−1, 1} to any constant...
AbstractWe study the learnability of boolean functions from membership and equivalence queries. We d...
We study the learnability of boolean functions from membership and equivalence queries. We develop t...
We prove various results on monotone Boolean functions. In particular, we prove a conjecture propose...
This thesis focuses on finding counterexamples for the conjecture suggested by Dr. Jackson that if t...
It is difficult to find Boolean functions achieving many good cryptographic properties. Recently, Tu...
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...
We determine the complexity of evaluating monotone Boolean functions in a variant of the decision tr...