Erol Başara, yirminci yüzyılda Türk müziğine hizmet etmiş, TRT tarafından kabul edilen “Reyyâ” makamı, “Muaşşer” usulü, “Satranç” ve “Aksak Murabba” formunu terkip eden, 78 adet sözlü-sözsüz formda eser bestelemiş bunların 72 tanesini repertuvarına kazandırmış bir bestekârdır. Bu araştırmada; bestekârın sözlü eserleri, prozodi bakımından uygunluğunun tespit edilmesi amacıyla Prozodi İnceleme Te...

For many goods and services, such as cellular-phone service and debit-card transactions, the marginal price of the next unit of service depends on past usage. As a result, consumers who are inattentive to their past usage may be aware of contract terms and yet remain uncertain about the marginal price of the next unit. I develop a model of inattentive consumption, derive equilibrium pricing whe...

Approximating complex geometric objects with simple ones is an important problem in geometric computing (i.e. in GIS, graphics, image processing). Usually, given an error bound d, to approximate a geometric object O we make two \copies" of O (O1; O2) such that the Hausdro distance between them and O is bounded by d and then we simply compute the minimum size polyhedron (polygon in 2D) between O...

We describe an e cient fair queuing scheme, Leap Forward Virtual Clock , that provides endto-end delay bounds almost identical to that of PGPS fair queuing, along with throughput fairness. Our scheme can be implemented with a worst-case time O(log logN ) per packet (inclusive of sorting costs), which improves upon all previously known schemes that achieve guaranteed delay and throughput fairnes...

The property tax is an important local revenue source in many countries, but it is often underused as a source for financing local expenditures. In India, many local governments have initiated administrative and valuation reforms to increase the yield from property taxes. In this paper, we examine the fiscal and distributional implication of the ongoing and potential assessment reforms in two I...

We study the learnability of several fundamental concept classes in the agnostic learning framework of Haussler [Hau92] and Kearns et al. [KSS94]. We show that under the uniform distribution, agnostically learning parities reduces to learning parities with random classification noise, commonly referred to as the noisy parity problem. Together with the parity learning algorithm of Blum et al. [B...