In a recent paper Longstaff & Schwartz (2001) suggest a method to American option valuation based on simulation. The method is termed the Least Squares Monte-Carlo (LSM) method, and although it has become widely used not much is known about the properties of the estimator. This paper corrects this shortcoming using theory from the literature on seminonparametric series estimators. A central par...

The Liquid State Machine (LSM) is a recently developed computational model [1] with interesting properties. It can be used for pattern classification, function approximation and other complex tasks. Contrary to most common computational models, the LSM does not require information to be stored in some stable state of the system: the inherent dynamics of the system are used by a memoryless reado...

Figure 1. Mauritius Larval Source Management (LSM) in Mauritius Malaria was first introduced to the island of Mauritius from mainland Africa during the mid 19 century [1]. Over a century of malaria control campaigns ensued, including large indoor residual spraying (IRS) operations and widespread larval source management (LSM) projects [2]. Mauritius was declared malariafree in 1973 by the World...

Key-value store based on a log-structured merge-tree (LSM-tree) is preferable to hash-based key-value store, because an LSM-tree can support wider variety of operations and show better performance, especially for writes. However, difficult implement in the resource constrained environment SSD (KV-SSD), and, consequently, KV-SSDs typically use schemes. We present PinK , design implementation LSM...

As infants, we hear continuous sound. It is only through trial and error that we eventually learn phonemes, recognize them, and then start trying to string them together. I attempt to train a Liquid State Machine (LSM) to achieve the second step in the process – picking out particular phonemes from continuous speech. I take several different approaches to explore how various settings within the...

An important question for mosquito population dynamics, mosquito-borne pathogen transmission and vector control is how mosquito populations are regulated. Here we develop simple models with heterogeneity in egg laying patterns and in the responses of larval populations to crowding in aquatic habitats. We use the models to evaluate how such heterogeneity affects mosquito population regulation an...

A serum biomarker (FibroTest; Biopredictive, Paris, France; FibroSure; LabCorp, Burlington, USA) and liver stiffness measurement (LSM) by Fibroscan (Echosens, Paris, France) have been extensively validated in chronic hepatitis C. This review updates the clinical validation of serum biomarkers and LSM in patients with chronic hepatitis B (CHB). One meta-analysis combined all published studies an...

We present TRIAD, a new persistent key-value (KV) store based on Log-Structured Merge (LSM) trees. TRIAD improves LSM KV throughput by reducing the write amplification arising in the maintenance of the LSM tree structure. Although occurring in the background, write amplification consumes significant CPU and I/O resources. By reducing write amplification, TRIAD allows these resources to be used ...

Particulate structures in the cytoplasm of HeLa and other cultured cells in interphase undergo rapid individual linear displacements (long saltatory movements, LSM). By the use of time-lapse microscopy to locate saltating particles prior to fixation and histochemical examination of the cells, structures of several kinds have been shown to move in this manner. Elements that show LSM include lyso...

We previously established a limited sampling model (LSM) for the area under the concentration versus time curve (AUC) of irinotecan (CPT-11). Using this LSM, we performed a pharmacokinetic-pharmacodynamic analysis of CPT-11 in a multicentric Phase II study for non-small cell lung cancer. Ten institutes participated in this study, 36 patients were registered, and 30 patients were evaluable for t...