Are Chebyshev-based stability analysis and Urabe’s error bound useful features for Harmonic Balance?

Error Analysis for Picard-Chebyshev Iterations

Are Word Embedding-based Features Useful for Sarcasm Detection?

This paper makes a simple increment to state-ofthe-art in sarcasm detection research. Existing approaches are unable to capture subtle forms of context incongruity which lies at the heart of sarcasm. We explore if prior work can be enhanced using semantic similarity/discordance between word embeddings. We augment word embedding-based features to four feature sets reported in the past. We also e...

Coupled Harmonic Equations , SOR , and Chebyshev Acceleration

A coupled pair of harmonic equations is solved by the application of Chebyshev acceleration to the Jacobi, Gauss-Seidel, and related iterative methods, where the Jacobi iteration matrix has purely imaginary (or zero) eigenvalues. Comparison is made with a block SOR method used to solve the same problem. Introduction. In [4], we proposed a general block SOR method for solving the biharmonic equa...

Analysis of Stability and Bifurcations of Limit Cycles in Chua’s Circuit Through the Harmonic-Balance Approach

This paper presents a spectral approach, based on the harmonic-balance technique, for detecting limit-cycle bifurcations in complex nonlinear circuits. The key step of the proposed approach is a method for a simple and effective computation of the Floquet multipliers (FM’s) that yield stability and bifurcation conditions. As a case-study, a quite complex system, Chua’s circuit, is considered. I...

What Kinds of Relational Features Are Useful for Statistical Learning?

A workmanlike, but nevertheless very effective combination of statistical and relational learning uses a statistical learner to construct models with features identified (quite often, separately) by a relational learner. This form of model-building has a long history in Inductive Logic Programming (ILP), with roots in the early 1990s with the LINUS system. Additional work has also been done in ...