When faced with protecting a three-point lead in the waning seconds of a basketball game, which is a preferable strategy: playing defense or fouling the offense before they can attempt a game-tying shot? Gonzaga University head coach, Mark Few, was faced with such a decision against Michigan State in the semi-finals of the Maui Invitational (November 22, 2005) and elected to play defense. The s...

Probert, Rebecca. Tying the Knot. The Formation of Marriage 1836–2020. Cambridge Studies in English Legal History. Cambridge: University Press, 2021 (XIII + 283 pp. DOI: https://doi.org/10.1017/9781009000109)

We present a class of fixtures that can be disassembled into four pieces to extract the loosely-tied knot. We prove that a fixture can be designed for any particular knot such that the knot can be extracted using only simple pure translations of the four fixture sections. We explore some of the issues raised by our experimental work with these fixtures, which show that simple knots can be tied ...

In this paper, a new clustering technique called Dimensional Split Phonetic Decision Tree (DS-PDT) is proposed. In DSPDT, state distributions are split dimensionally when applying phonetic question. This technique is an extension of the decision tree based acoustic modeling. It gives a proper context-dependent sharing structure of each dimension automatically while maintaining the correlations ...

MAY/JUNE 200

An acoustic model for a real-time continuous phoneme recognition system must exhibit the following desirable feature: an ability to minimize the recognition performance degradation while solving the model complexity problem to confine the delay to a minimum in recognition process. To cope with the challenges, we introduce the state-dependent Phonetic Tied-Mixture (PTM) model with Head-Body-Tail...

Deformable object manipulation remains a challenging task in robotics. Continuous, high dimensional, state and action spaces make standard model-based approaches to manipulation planning intractable. Recent work has shown progress on this task by learning from demonstrations through trajectory transfer [21], [20]. This approach avoids planning in the state space of a deformable object by findin...

This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the EM training method by a penalty term that favors simple and smooth HMM systems. The penalty term is constructed as a mixture model of negative exponential distributions that is assumed to generate the state dependent em...