We extend distributed algorithmic mechanism design by considering a new model that allows autonomous nodes executing a distributed mechanism to strategically deviate from the prescribed protocol. Our goal is to motivate agents to contribute to a global objective and resist disruption by a limited

Boltzmann Machines are a powerful class of undirected graphical models. Originally proposed as artificial neural networks, they can be regarded as a type of Markov Random Field in which the connection weights between nodes are symmetric and learned from data. They are also closely related to recent

distributed intrusion detection system that fosters collaboration among heterogeneous nodes organized as an overlay network. The overlay design enables DOMINO to be heterogeneous, scalable, and robust to attacks and failures. An important component of DOMINO’s design is the use of active sink nodes which

assignment, and the flow potentials of the node representing that variable in the graph used in the energy minimization procedure. We then proceed to show how the min-marginal energy can be computed by minimizing a projection of the energy function defined by the MRF. We propose a fast and novel algorithm

The problem of controlling the capacity of decision trees is considered for the case where the decision nodes implement linear threshold functions. In addition to the standard early stopping and pruning procedures, we implement a strategy based on the margins of the decision boundaries

Abstract We study a geometric decay property for two-node queueing networks, not restricted to ones having acyclic configuration. We take a matrix-analytic approach, and prove the geometric decay property of the marginal queue-length distributions by giving an upper bound of the exact decay rate

We present two algorithms for analytic asymptotic evaluation of the marginal likelihood of data given a Bayesian network with hidden nodes. As shown by previous work, this evaluation is particularly hard because for these models asymptotic approximation of the marginal likelihood deviates

level was 25 ng/mL, and five patients had had neoadjuvant antihormonal treatment. Positive margins were found in 76% of patients. Patients without neoadjuvant treatment showed it in 79%, and after preoperative antihormonal treatment the rate was 60%. Positive margins were associated with lymph node

Thirty years ago, most melanomas were widely excised with 3-cm to 5-cm margins, and many centers treated regional lymph nodes with routine elective lymph node dissection (ELND). These management policies were not evidence-based, they simply represented a continuation of surgical practices that had

Indolent B-cell lymphomas that are supposed to derive from the marginal zone (marginal zone lymphomas [MZLs]) include 3 specific entities: extranodal marginal zone lymphoma (EMZL) or mucosa-associated lymphatic tissue (MALT) lymphoma, splenic MZL (SMZL), and nodal MZL (NMZL). The clinical